{"id":"https://openalex.org/W2128084255","doi":"https://doi.org/10.1371/journal.pcbi.1003425","title":"Task-Specific Response Strategy Selection on the Basis of Recent Training Experience","display_name":"Task-Specific Response Strategy Selection on the Basis of Recent Training Experience","publication_year":2014,"publication_date":"2014-01-02","ids":{"openalex":"https://openalex.org/W2128084255","doi":"https://doi.org/10.1371/journal.pcbi.1003425","mag":"2128084255","pmid":"https://pubmed.ncbi.nlm.nih.gov/24391490"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1003425","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1003425","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1371/journal.pcbi.1003425","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026660796","display_name":"Jacqueline M. Fulvio","orcid":"https://orcid.org/0000-0002-0055-4308"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jacqueline M. Fulvio","raw_affiliation_strings":["Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087994859","display_name":"C. Shawn Green","orcid":"https://orcid.org/0000-0002-9290-0262"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Shawn Green","raw_affiliation_strings":["Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071796726","display_name":"Paul Schrater","orcid":"https://orcid.org/0000-0001-7853-8984"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul R. Schrater","raw_affiliation_strings":["Department of Psychology, University of Minnesota, Minneapolis, Minnesota, United States of America ; Center for Cognitive Sciences, University of Minnesota, Minneapolis, Minnesota, United States of America","Department of Psychology, University of Minnesota, Minneapolis, Minnesota, United States of America","Center for Cognitive Sciences, University of Minnesota, Minneapolis, Minnesota, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Minnesota, Minneapolis, Minnesota, United States of America ; Center for Cognitive Sciences, University of Minnesota, Minneapolis, Minnesota, United States of America","institution_ids":[]},{"raw_affiliation_string":"Department of Psychology, University of Minnesota, Minneapolis, Minnesota, United States of America","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Center for Cognitive Sciences, University of Minnesota, Minneapolis, Minnesota, United States of America","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026660796"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":3.9214,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.92801422,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":"1","first_page":"e1003425","last_page":"e1003425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10656","display_name":"Child and Animal Learning Development","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10656","display_name":"Child and Animal Learning Development","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7333874702453613},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6996397376060486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6856852173805237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6115652322769165},{"id":"https://openalex.org/keywords/test-strategy","display_name":"Test strategy","score":0.4837370216846466},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.43932047486305237},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4276214838027954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333874702453613},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6996397376060486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6856852173805237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6115652322769165},{"id":"https://openalex.org/C188598960","wikidata":"https://www.wikidata.org/wiki/Q7705805","display_name":"Test strategy","level":3,"score":0.4837370216846466},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.43932047486305237},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4276214838027954},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003657","descriptor_name":"Decision Making","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003657","descriptor_name":"Decision Making","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003657","descriptor_name":"Decision Making","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014785","descriptor_name":"Vision, Ocular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014785","descriptor_name":"Vision, Ocular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014785","descriptor_name":"Vision, Ocular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030141","descriptor_name":"Feedback, Psychological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030141","descriptor_name":"Feedback, Psychological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030141","descriptor_name":"Feedback, Psychological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":7,"locations":[{"id":"doi:10.1371/journal.pcbi.1003425","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1003425","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Computational Biology","raw_type":"journal-article"},{"id":"pmid:24391490","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24391490","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.808.6333","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.808.6333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/98/0b/pcbi.1003425.PMC3879094.pdf","raw_type":"text"},{"id":"pmh:oai:RePEc:plo:pcbi00:1003425","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003425","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:61b6015c48484df98470762987c34c22","is_oa":true,"landing_page_url":"https://doaj.org/article/61b6015c48484df98470762987c34c22","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 10, Iss 1, p e1003425 (2014)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/893369","is_oa":true,"landing_page_url":"https://figshare.com/articles/dataset/_Task_Specific_Response_Strategy_Selection_on_the_Basis_of_Recent_Training_Experience_/893369","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dataset"},{"id":"pmh:oai:pubmedcentral.nih.gov:3879094","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3879094","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1003425","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1003425","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W86212350","https://openalex.org/W1504212531","https://openalex.org/W1557517019","https://openalex.org/W1574180203","https://openalex.org/W1965854915","https://openalex.org/W1976310317","https://openalex.org/W1984865875","https://openalex.org/W1988606223","https://openalex.org/W2006446545","https://openalex.org/W2008042156","https://openalex.org/W2012013165","https://openalex.org/W2017531346","https://openalex.org/W2021696235","https://openalex.org/W2027937844","https://openalex.org/W2032139276","https://openalex.org/W2043644755","https://openalex.org/W2047106254","https://openalex.org/W2058922808","https://openalex.org/W2064708880","https://openalex.org/W2074668887","https://openalex.org/W2077012205","https://openalex.org/W2083157770","https://openalex.org/W2083227997","https://openalex.org/W2086516492","https://openalex.org/W2088633797","https://openalex.org/W2097395964","https://openalex.org/W2104469372","https://openalex.org/W2105934661","https://openalex.org/W2121703242","https://openalex.org/W2123429050","https://openalex.org/W2126517582","https://openalex.org/W2129670787","https://openalex.org/W2131333200","https://openalex.org/W2131338584","https://openalex.org/W2157715914","https://openalex.org/W2167362547","https://openalex.org/W2168190474","https://openalex.org/W2289965615","https://openalex.org/W6679412632"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W1530808388","https://openalex.org/W4366179611","https://openalex.org/W4311657422"],"abstract_inverted_index":{"The":[0,215],"goal":[1],"of":[2,11,26,31,36,83,122,151,156,202,229],"training":[3,20,37,85,135,158,203,240],"is":[4,100,160,178],"to":[5,97],"produce":[6],"learning":[7,32,49,57,99,123],"for":[8,119,134,148,166,186],"a":[9,24,71,110,125,138,149,175,193,199,206,212],"range":[10],"activities":[12],"that":[13,66,74,88,115,129,142],"are":[14],"typically":[15],"more":[16],"general":[17,139,216],"than":[18],"the":[19,29,34,43,64,81,84,89,95,154,167,172],"task":[21,45,86,114],"itself.":[22],"Despite":[23],"century":[25],"research,":[27],"predicting":[28],"scope":[30],"from":[33],"content":[35],"has":[38],"proven":[39],"extremely":[40],"difficult,":[41],"with":[42,182,191,242],"same":[44],"producing":[46],"narrowly":[47],"focused":[48],"strategies":[50,58],"in":[51,59,225,237],"some":[52],"cases":[53],"and":[54,77,87,137,205],"broadly":[55],"scoped":[56],"others.":[60],"Here":[61],"we":[62,106,162],"test":[63,103,187],"hypothesis":[65],"human":[67],"subjects":[68,108],"will":[69,92],"prefer":[70],"decision":[72],"strategy":[73,90,128,141,195],"maximizes":[75],"performance":[76,165],"reduces":[78],"uncertainty":[79],"given":[80],"demands":[82],"chosen":[91],"then":[93],"predict":[94,163],"extent":[96],"which":[98],"transferable.":[101],"To":[102],"this":[104],"hypothesis,":[105],"trained":[107,197,210],"on":[109,198,211],"moving":[111],"dot":[112],"extrapolation":[113],"makes":[116],"distinct":[117,157],"predictions":[118],"two":[120],"types":[121],"strategy:":[124],"narrow":[126],"model-free":[127],"learns":[130],"an":[131],"input-output":[132],"mapping":[133,168,194],"stimuli,":[136],"model-based":[140],"utilizes":[143],"humans'":[144],"default":[145],"predictive":[146,176,207],"model":[147,177,208],"class":[150],"trajectories.":[152],"When":[153],"number":[155,173,201],"trajectories":[159,188,204],"low,":[161],"better":[164],"strategy,":[169],"but":[170],"as":[171,234,236],"increases,":[174],"increasingly":[179],"favored.":[180],"Consonant":[181],"predictions,":[183],"subject":[184],"extrapolations":[185],"were":[189],"consistent":[190],"using":[192],"when":[196,209],"small":[200],"larger":[213],"number.":[214],"framework":[217],"developed":[218],"here":[219],"can":[220],"thus":[221],"be":[222],"useful":[223],"both":[224],"interpreting":[226],"previous":[227],"patterns":[228],"task-specific":[230],"versus":[231],"task-general":[232],"learning,":[233],"well":[235],"building":[238],"future":[239],"paradigms":[241],"certain":[243],"desired":[244],"outcomes.":[245]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
