{"id":"https://openalex.org/W2157104060","doi":"https://doi.org/10.1145/1478873.1479022","title":"An information processing approach to theory formation in biomedical research","display_name":"An information processing approach to theory formation in biomedical research","publication_year":1971,"publication_date":"1971-01-01","ids":{"openalex":"https://openalex.org/W2157104060","doi":"https://doi.org/10.1145/1478873.1479022","mag":"2157104060"},"language":"en","primary_location":{"id":"doi:10.1145/1478873.1479022","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1478873.1479022","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1478873.1479022","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the November 16-18, 1971, fall joint computer conference on - AFIPS '71 (Fall)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/1478873.1479022","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077685136","display_name":"Harry E. Pople","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"H. Pople","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, Pennsylvania","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067346785","display_name":"G. Werner","orcid":"https://orcid.org/0000-0001-9039-9032"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Werner","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, Pennsylvania","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077685136"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":2.159,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89256432,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1125","last_page":"1125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9614999890327454,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7018709182739258},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6535722613334656},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.6421947479248047},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.47766169905662537},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.44443950057029724},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.42909666895866394},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.42281925678253174},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.35527145862579346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.331479549407959},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13703656196594238},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12344413995742798}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7018709182739258},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6535722613334656},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.6421947479248047},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.47766169905662537},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.44443950057029724},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.42909666895866394},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42281925678253174},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.35527145862579346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.331479549407959},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13703656196594238},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12344413995742798},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1478873.1479022","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1478873.1479022","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1478873.1479022","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the November 16-18, 1971, fall joint computer conference on - AFIPS '71 (Fall)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/1478873.1479022","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1478873.1479022","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1478873.1479022","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the November 16-18, 1971, fall joint computer conference on - AFIPS '71 (Fall)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2157104060.pdf","grobid_xml":"https://content.openalex.org/works/W2157104060.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W2103264638","https://openalex.org/W2799050438"],"related_works":["https://openalex.org/W2380179524","https://openalex.org/W4283365723","https://openalex.org/W2753017648","https://openalex.org/W2513760693","https://openalex.org/W2062819913","https://openalex.org/W2133485962","https://openalex.org/W2001662723","https://openalex.org/W4211188312","https://openalex.org/W2149544884","https://openalex.org/W1001771077"],"abstract_inverted_index":{"The":[0],"extensive":[1],"literature":[2],"on":[3],"modeling":[4],"of":[5,19,29,46],"biological":[6,20],"systems":[7],"published":[8],"in":[9,42],"the":[10,14,32,43],"past":[11],"decade":[12],"reflects":[13],"growing":[15],"expectation":[16],"that":[17],"theories":[18],"functions":[21],"can":[22],"be":[23],"subject":[24],"to":[25],"more":[26,37],"exacting":[27],"tests":[28],"consistency":[30],"with":[31],"natural":[33],"system,":[34],"and":[35],"yield":[36],"powerful":[38],"predictions":[39],"if":[40],"embodied":[41],"formal":[44],"structure":[45],"computer":[47],"programs.":[48]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}