{"id":"https://openalex.org/W2896482837","doi":"https://doi.org/10.1109/tnnls.2020.2980779","title":"Generalized Convolution Spectral Mixture for Multitask Gaussian Processes","display_name":"Generalized Convolution Spectral Mixture for Multitask Gaussian Processes","publication_year":2020,"publication_date":"2020-04-15","ids":{"openalex":"https://openalex.org/W2896482837","doi":"https://doi.org/10.1109/tnnls.2020.2980779","mag":"2896482837","pmid":"https://pubmed.ncbi.nlm.nih.gov/32305940"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.2980779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2980779","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2066/228085","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100437965","display_name":"Kai Chen","orcid":"https://orcid.org/0000-0002-4081-0687"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN","NL"],"is_corresponding":false,"raw_author_name":"Kai Chen","raw_affiliation_strings":["Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands","School of Information Science and Technology, University of Science and Technology of China, Hefei, China","School of Science and Engineering (SSE), The Chinese University of Hong Kong, Shenzhen, China,"],"raw_orcid":"https://orcid.org/0000-0002-4081-0687","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]},{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Science and Engineering (SSE), The Chinese University of Hong Kong, Shenzhen, China,","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024745642","display_name":"Twan van Laarhoven","orcid":"https://orcid.org/0000-0001-7597-0579"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Twan van Laarhoven","raw_affiliation_strings":["Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Perry Groot","orcid":null},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Perry Groot","raw_affiliation_strings":["Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665833","display_name":"Jinsong Chen","orcid":"https://orcid.org/0000-0002-0157-5469"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Chen","raw_affiliation_strings":["Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089998437","display_name":"Elena Marchiori","orcid":"https://orcid.org/0000-0002-5006-4112"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Elena Marchiori","raw_affiliation_strings":["Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8055,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7832366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":"12","first_page":"5613","last_page":"5623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9993000030517578,"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/T11236","display_name":"Control Systems and Identification","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9571999907493591,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6760873198509216},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5969201326370239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5762988924980164},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5067835450172424},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.4898814558982849},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4492935240268707},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4397309124469757},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4370657205581665},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.41154223680496216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33142924308776855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29884612560272217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17627590894699097},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.0682712197303772},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0632249116897583}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6760873198509216},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5969201326370239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5762988924980164},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5067835450172424},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.4898814558982849},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4492935240268707},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4397309124469757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4370657205581665},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.41154223680496216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33142924308776855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29884612560272217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17627590894699097},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0682712197303772},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0632249116897583},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2020.2980779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2980779","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32305940","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32305940","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":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:repository.ubn.ru.nl:2066/228085","is_oa":false,"landing_page_url":"https://hdl.handle.net/2066/228085","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article / Letter to editor"},{"id":"pmh:ru:oai:repository.ubn.ru.nl:2066/228085","is_oa":true,"landing_page_url":"http://hdl.handle.net/2066/228085","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems, 31, 5613 - 5623","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:ru:oai:repository.ubn.ru.nl:2066/228085","is_oa":true,"landing_page_url":"http://hdl.handle.net/2066/228085","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems, 31, 5613 - 5623","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321013","display_name":"Radboud Universiteit","ror":"https://ror.org/016xsfp80"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W55912154","https://openalex.org/W133251416","https://openalex.org/W824892955","https://openalex.org/W1188019604","https://openalex.org/W1497906780","https://openalex.org/W1545951971","https://openalex.org/W1571870753","https://openalex.org/W1746819321","https://openalex.org/W1799689209","https://openalex.org/W1917966882","https://openalex.org/W1985690171","https://openalex.org/W2023300271","https://openalex.org/W2026757872","https://openalex.org/W2030774493","https://openalex.org/W2037916939","https://openalex.org/W2049927789","https://openalex.org/W2059980448","https://openalex.org/W2060682310","https://openalex.org/W2107386393","https://openalex.org/W2113145584","https://openalex.org/W2119595900","https://openalex.org/W2125849100","https://openalex.org/W2136213019","https://openalex.org/W2142959074","https://openalex.org/W2143672530","https://openalex.org/W2144411596","https://openalex.org/W2148007822","https://openalex.org/W2167503371","https://openalex.org/W2168464387","https://openalex.org/W2188433839","https://openalex.org/W2215375112","https://openalex.org/W2244065023","https://openalex.org/W2244749007","https://openalex.org/W2281833786","https://openalex.org/W2402144811","https://openalex.org/W2540189295","https://openalex.org/W2563370810","https://openalex.org/W2752783222","https://openalex.org/W2764180830","https://openalex.org/W2765571454","https://openalex.org/W2767602894","https://openalex.org/W2772178449","https://openalex.org/W2804969786","https://openalex.org/W2885685774","https://openalex.org/W2886020227","https://openalex.org/W2951308445","https://openalex.org/W2952795334","https://openalex.org/W2953384591","https://openalex.org/W2962740580","https://openalex.org/W2963163958","https://openalex.org/W2963282838","https://openalex.org/W2963657064","https://openalex.org/W2964125661","https://openalex.org/W2964153027","https://openalex.org/W2995529796","https://openalex.org/W3022926824","https://openalex.org/W3098200686","https://openalex.org/W3104375779","https://openalex.org/W4206212643","https://openalex.org/W4211049957","https://openalex.org/W4245785801","https://openalex.org/W4255777770","https://openalex.org/W4297786392","https://openalex.org/W4301091646","https://openalex.org/W6605391468","https://openalex.org/W6623222773","https://openalex.org/W6629804754","https://openalex.org/W6640127846","https://openalex.org/W6675823452","https://openalex.org/W6676544178","https://openalex.org/W6677658955","https://openalex.org/W6679072756","https://openalex.org/W6681154564","https://openalex.org/W6681460771","https://openalex.org/W6681609451","https://openalex.org/W6682278119","https://openalex.org/W6686580278","https://openalex.org/W6688788800","https://openalex.org/W6695317373","https://openalex.org/W6713134421","https://openalex.org/W6743675802","https://openalex.org/W6744579343","https://openalex.org/W6744798215","https://openalex.org/W6745405059","https://openalex.org/W6745684358","https://openalex.org/W6751494034","https://openalex.org/W6753418905","https://openalex.org/W6753963470","https://openalex.org/W6777152345","https://openalex.org/W6811437618","https://openalex.org/W6845059051"],"related_works":["https://openalex.org/W4389397071","https://openalex.org/W2023045191","https://openalex.org/W2952839243","https://openalex.org/W2807251790","https://openalex.org/W4386858688","https://openalex.org/W2982536526","https://openalex.org/W4380302312","https://openalex.org/W3008689640","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"Multitask":[0],"Gaussian":[1],"processes":[2],"(MTGPs)":[3],"are":[4,105,120],"a":[5,136],"powerful":[6],"approach":[7],"for":[8,17,22,112],"modeling":[9],"dependencies":[10,98],"between":[11,75,99,135,161],"multiple":[12],"related":[13],"tasks":[14,104,119],"or":[15],"functions":[16],"joint":[18],"regression.":[19],"Current":[20],"kernels":[21,48,111,166],"MTGPs":[23,113],"cannot":[24],"fully":[25],"model":[26,69],"nonlinear":[27,70],"task":[28,71,84],"correlations":[29,72],"and":[30,49,73,79,97,130,139,153,163],"other":[31],"types":[32],"of":[33,53,56,94,109,144,173],"dependencies.":[34],"In":[35],"this":[36,40,54,125],"article,":[37],"we":[38,123],"address":[39],"limitation.":[41],"We":[42],"focus":[43],"on":[44,150],"spectral":[45],"mixture":[46],"(SM)":[47],"propose":[50],"an":[51],"enhancement":[52],"type":[55],"kernels,":[57],"called":[58],"multitask":[59],"generalized":[60],"convolution":[61,95,134],"SM":[62,165],"(MT-GCSM)":[63],"kernel.":[64],"The":[65],"MT-GCSM":[66,86,162],"kernel":[67,90],"can":[68],"dependence":[74],"components,":[76],"including":[77],"time":[78],"phase":[80],"delay":[81],"dependence.":[82],"Each":[83],"in":[85],"has":[87],"its":[88,92],"GCSM":[89],"with":[91],"number":[93],"structures,":[96],"all":[100],"components":[101,116],"from":[102,117],"different":[103,118],"considered.":[106],"Another":[107],"constraint":[108,126],"current":[110],"is":[114],"that":[115],"aligned.":[121],"Here,":[122],"lift":[124],"by":[127],"using":[128],"inner":[129],"outer":[131],"full":[132],"cross":[133],"base":[137,146],"component":[138],"the":[140,159,170],"reversed":[141],"complex":[142],"conjugate":[143],"another":[145],"component.":[147],"Extensive":[148],"experiments":[149],"two":[151],"synthetic":[152],"three":[154],"real-life":[155],"data":[156],"sets":[157],"illustrate":[158],"difference":[160],"previous":[164],"as":[167,169],"well":[168],"practical":[171],"effectiveness":[172],"MT-GCSM.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}