{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":176,"total_is_capped":false,"direct_labels_cover":44,"predictions_cover":176,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"ac8d0f485ba1","filters":{"venue":"Scientometrics"}},"results":[{"id":"W1767272795","doi":"10.1007/s11192-015-1765-5","title":"The journal coverage of Web of Science and Scopus: a comparative analysis","year":2015,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":4652,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Scopus; Web of science; Directory; Computer science; Scientometrics; Bibliometrics; Data science; Library science; Information retrieval; Political science; MEDLINE","authors":[{"name":"Philippe Mongeon","is_ca":true},{"name":"Adèle Paul‐Hus","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6780420299185497,"gpt":0.6098436100295971,"spread":0.06819841988895259,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003984022,0.0002780317,0.0008128308,0.03213661,0.0005098332,0.003473685,0.0008115194,0.0006783728,0.003505708],"category_scores_gemma":[0.05544736,0.0002192064,0.00138911,0.04098197,0.0007914339,0.003405351,0.001697287,0.000476078,0.0006250955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036552,"about_ca_system_score_gemma":0.000936849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007175479,"about_ca_topic_score_gemma":0.0080753,"domain_scores_codex":[0.9957517,0.001162635,0.0005512974,0.000327497,0.00184948,0.0003573769],"domain_scores_gemma":[0.9220914,0.05161574,0.01409674,0.001529467,0.008873878,0.001792872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003450124,0.00006545372,0.9700466,0.0004774608,0.001065867,0.0002240323,0.0007559252,0.000426439,0.000401983,0.0009192228,0.001136235,0.02413575],"study_design_scores_gemma":[0.00001101186,0.0001063867,0.9932458,0.0001416536,0.0005618414,0.0005168041,0.001364813,0.001148713,0.0002362861,0.0003660435,0.00228808,0.00001259734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97149,0.01193513,0.0003476687,0.0005822236,0.00004496038,0.00001285138,0.003495958,0.00003544452,0.01205579],"genre_scores_gemma":[0.9953157,0.002254851,0.0001434299,0.00003876471,0.00009108893,0.000007749902,0.001746043,0.00001487394,0.0003874753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9678634,"threshold_uncertainty_score":0.02106977,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2165122403","doi":"10.1007/s11192-006-0115-z","title":"Benchmarking scientific output in the social sciences and humanities: The limits of existing databases","year":2006,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":506,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Benchmarking; Bibliometrics; Benchmark (surveying); Database; Bibliographic database; Computer science; Data science; Humanities; Library science; Geography; Management","authors":[{"name":"Éric Archambault","is_ca":true},{"name":"Étienne Vignola‐Gagné","is_ca":false},{"name":"Grégoire Côté","is_ca":false},{"name":"Vincent Larivière","is_ca":true},{"name":"Yves Gingrasb","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8593883432201264,"gpt":0.609782680977184,"spread":0.2496056622429423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.2117948,0.001439185,0.006880512,0.03238686,0.003829374,0.04375171,0.01127166,0.004675381,0.003534663],"category_scores_gemma":[0.5079167,0.001413145,0.001819434,0.06568196,0.01033181,0.04727207,0.01580384,0.004585154,0.001405537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009074111,"about_ca_system_score_gemma":0.01632906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01179735,"about_ca_topic_score_gemma":0.01404912,"domain_scores_codex":[0.7648036,0.1055339,0.02635588,0.01334711,0.08669557,0.003263902],"domain_scores_gemma":[0.316423,0.5012513,0.0366108,0.06879453,0.06593689,0.01098346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006425818,0.000541784,0.07119978,0.008204056,0.002585909,0.0001567786,0.003876196,0.009439403,0.0008997864,0.2257134,0.02373902,0.6530012],"study_design_scores_gemma":[0.0002788573,0.000416201,0.05802187,0.01092755,0.001492411,0.0004308535,0.007455678,0.03048023,0.002502482,0.7635346,0.124113,0.0003461808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2407868,0.2747482,0.1460774,0.1670558,0.003212487,0.0005292061,0.01471318,0.002469429,0.1504075],"genre_scores_gemma":[0.8173069,0.05303284,0.1107676,0.005823052,0.003822682,0.0006143718,0.005894138,0.0005688691,0.002169488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9676132,"threshold_uncertainty_score":0.9719973,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2115701185","doi":"10.1007/s11192-007-2036-x","title":"History of the journal impact factor: Contingencies and consequences","year":2009,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":332,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"","keywords":"Impact factor; Citation; Bibliometrics; Computer science; Factor (programming language); Data science; Library science; Operations research; Political science; Law; Mathematics","authors":[{"name":"Éric Archambault","is_ca":true},{"name":"Vincent Larivière","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6874658205142047,"gpt":0.5792682361347077,"spread":0.108197584379497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01016663,0.0004821932,0.0007389178,0.0116769,0.002421984,0.008120441,0.001066471,0.001863848,0.01324196],"category_scores_gemma":[0.06071548,0.000786726,0.0005723024,0.01086333,0.003770205,0.007062718,0.002160019,0.003282523,0.001572094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004089085,"about_ca_system_score_gemma":0.001921018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005794387,"about_ca_topic_score_gemma":0.005026083,"domain_scores_codex":[0.9963189,0.0008036256,0.0003162024,0.0009576237,0.001228546,0.0003750344],"domain_scores_gemma":[0.9078028,0.05421746,0.008898347,0.005080088,0.01909037,0.004910945],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001354204,0.0008155848,0.3313777,0.001131886,0.0004638379,0.0009617832,0.002526712,0.01077324,0.007118194,0.257158,0.01530556,0.3710133],"study_design_scores_gemma":[0.00008121868,0.0006939868,0.7153301,0.0007608017,0.000317895,0.001242499,0.003508204,0.01331407,0.008931994,0.1705388,0.08482043,0.0004600038],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.720482,0.022669,0.02695266,0.0220209,0.00115923,0.0002185953,0.003736198,0.0007341349,0.2020273],"genre_scores_gemma":[0.9914725,0.002529124,0.002691223,0.0003864295,0.0004225475,0.00002628077,0.0003495362,0.00008777794,0.002034524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9898334,"threshold_uncertainty_score":0.05376691,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2038196424","doi":"10.1007/s11192-013-1221-3","title":"Coverage and adoption of altmetrics sources in the bibliometric community","year":2014,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":266,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Altmetrics; Bookmarking; Social media; Citation; Tracking (education); Scopus; World Wide Web; Download; Computer science; Internet privacy; Psychology; Political science; MEDLINE","authors":[{"name":"Stefanie Haustein","is_ca":true},{"name":"Isabella Peters","is_ca":false},{"name":"Judit Bar‐Ilan","is_ca":false},{"name":"Jason R Priem","is_ca":false},{"name":"Hadas Shema","is_ca":false},{"name":"Jens Terliesner","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5482835610101827,"gpt":0.547941311386074,"spread":0.0003422496241086703,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.08737023,0.0005578734,0.001112199,0.08448674,0.002871948,0.0216358,0.003210678,0.002790762,0.00584476],"category_scores_gemma":[0.3835517,0.000582247,0.001346906,0.071302,0.003694532,0.0162732,0.009176964,0.002688772,0.001420041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005750915,"about_ca_system_score_gemma":0.006602313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006735298,"about_ca_topic_score_gemma":0.006530677,"domain_scores_codex":[0.9045132,0.03340564,0.008449059,0.008392426,0.04216809,0.003071671],"domain_scores_gemma":[0.4140251,0.3417682,0.07502758,0.03890195,0.1189745,0.01130259],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004671397,0.0002275907,0.5781668,0.002383315,0.0009717767,0.0002982883,0.02206414,0.001363017,0.002861404,0.04028035,0.01021168,0.3407045],"study_design_scores_gemma":[0.0000949555,0.0003788229,0.7870881,0.005394168,0.001232363,0.001818744,0.01967602,0.01259723,0.005877564,0.02455189,0.141047,0.0002431517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8042169,0.03389289,0.01612323,0.02529634,0.0006891582,0.0001658934,0.005058707,0.0008105831,0.1137463],"genre_scores_gemma":[0.9824396,0.005922688,0.005323586,0.0009012857,0.0008805195,0.00005190237,0.002412427,0.0001948922,0.001873108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9155133,"threshold_uncertainty_score":0.4620635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2143612877","doi":"10.1007/s11192-011-0580-x","title":"Validating online reference managers for scholarly impact measurement","year":2011,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":260,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; York University","funders":"","keywords":"Citation; Computer science; Citation impact; Sample (material); Citation analysis; Web of science; Information retrieval; Scholarly communication; Impact factor; World Wide Web; Data science; Political science; MEDLINE; Publishing","authors":[{"name":"Xuemei Li","is_ca":true},{"name":"Mike Thelwall","is_ca":false},{"name":"Dean Giustini","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.9469149544521874,"gpt":0.6472795575330219,"spread":0.2996353969191655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.03317255,0.00069309,0.0007823675,0.007580075,0.001576884,0.007599602,0.002169634,0.002479207,0.01051799],"category_scores_gemma":[0.1583944,0.0003895584,0.0005281405,0.007810215,0.0007348582,0.007791086,0.002565347,0.00111509,0.008676208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651252,"about_ca_system_score_gemma":0.003083745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001408026,"about_ca_topic_score_gemma":0.002359415,"domain_scores_codex":[0.9570205,0.01784567,0.004236704,0.002914088,0.01662222,0.001360907],"domain_scores_gemma":[0.807417,0.08184943,0.02954298,0.0230203,0.0534252,0.004745034],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006744454,0.00274505,0.6375815,0.000355204,0.0001970414,0.0001067574,0.002671621,0.001094618,0.006604757,0.007354011,0.01673622,0.3238789],"study_design_scores_gemma":[0.0006255041,0.005066344,0.7205945,0.0008863306,0.0008487427,0.0006143325,0.01458689,0.06953444,0.06949195,0.01462773,0.1028715,0.0002516523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9146519,0.0007794899,0.03827364,0.001653846,0.0003820725,0.0009205568,0.002436306,0.001524001,0.0393782],"genre_scores_gemma":[0.9387319,0.0002856312,0.04713418,0.0004967335,0.0003171742,0.001198598,0.002917798,0.000189169,0.008728739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9924199,"threshold_uncertainty_score":0.1754353,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2888141929","doi":"10.1007/s11192-018-2889-1","title":"Bibliometric study of family business succession between 1939 and 2017: mapping and analyzing authors’ networks","year":2018,"lang":"en","type":"article","venue":"Scientometrics","topic":"Family Business Performance and Succession","field":"Business, Management and Accounting","cited_by":216,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; HEC Montréal","funders":"","keywords":"Scopus; Scope (computer science); Ecological succession; Family business; Social network analysis; Scientometrics; Bibliometrics; Data science; Citation impact; Sociology; Citation; Computer science; Knowledge management; Library science; Social science; Political science; Management; Social capital; Economics; MEDLINE","authors":[{"name":"Luis Cisneros","is_ca":true},{"name":"Mihai Ibanescu","is_ca":true},{"name":"Christian Keen","is_ca":true},{"name":"María Odette Lobato Calleros","is_ca":false},{"name":"Juan Cayetano Niebla-Zatarain","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07934125063747188,"gpt":0.3136777381275538,"spread":0.234336487490082,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002116529,0.0002168405,0.0004171846,0.04722628,0.00129473,0.001823196,0.0004766901,0.0004744462,0.002623414],"category_scores_gemma":[0.0177742,0.0001293054,0.0004398098,0.07281334,0.0005423977,0.001804078,0.001427609,0.0003929212,0.001026514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937393,"about_ca_system_score_gemma":0.003579534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03424084,"about_ca_topic_score_gemma":0.05343157,"domain_scores_codex":[0.9979728,0.0003663912,0.0004423819,0.000245027,0.0007241382,0.0002492006],"domain_scores_gemma":[0.9824023,0.005463286,0.005906074,0.000771882,0.004237437,0.001219112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001656332,0.00007628584,0.9032694,0.0005947029,0.0002715456,0.0005996896,0.004976485,0.0007076631,0.0008232395,0.002957129,0.008968504,0.0765899],"study_design_scores_gemma":[0.000004390029,0.00003408142,0.9616744,0.0001869364,0.00009690799,0.0004668106,0.004858356,0.0007628279,0.0006644062,0.0004645187,0.03076682,0.00001958644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637058,0.006602064,0.0005523622,0.0006745887,0.00009159804,0.00003655129,0.01363939,0.00005050667,0.01464704],"genre_scores_gemma":[0.9851567,0.002794834,0.0006370279,0.00003799138,0.0001274661,0.00003795987,0.008472789,0.00001383953,0.002721426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9527737,"threshold_uncertainty_score":0.06808305,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2139770987","doi":"10.1007/s11192-006-0127-8","title":"Canadian collaboration networks: A comparative analysis of the natural sciences, social sciences and the humanities","year":2006,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":215,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Digital humanities; Humanities; Natural science; The arts; Citation index; Index (typography); Sociology; Social science; Citation; Library science; Political science; Epistemology; Computer science; Philosophy; World Wide Web","authors":[{"name":"Vincent Larivière","is_ca":true},{"name":"Yves Gingras","is_ca":true},{"name":"Éric Archambault","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4360845501692481,"gpt":0.5388048553623775,"spread":0.1027203051931294,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003631557,0.0006388887,0.0007466904,0.03219198,0.008152015,0.004702437,0.001810359,0.0007746536,0.007480015],"category_scores_gemma":[0.02646643,0.0003064726,0.0008865763,0.08644978,0.001273597,0.002440434,0.00318125,0.0007378831,0.0004643806],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07722927,"about_ca_system_score_gemma":0.1280416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924763,"about_ca_topic_score_gemma":0.9964902,"domain_scores_codex":[0.9953554,0.0005352806,0.0001877287,0.0004666259,0.00263637,0.0008186433],"domain_scores_gemma":[0.9801267,0.003454324,0.002386314,0.0004848299,0.01117464,0.00237325],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007033673,0.0001458179,0.5542405,0.003238501,0.001004153,0.000723473,0.02786661,0.005907899,0.00127935,0.130759,0.07623928,0.1978921],"study_design_scores_gemma":[0.00008995728,0.0000468254,0.8362703,0.0007341796,0.000664624,0.0003063935,0.02237766,0.005203996,0.0006151881,0.005455793,0.128098,0.0001370851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7971361,0.02759593,0.004800214,0.008484713,0.0002985158,0.0003683212,0.04362488,0.0002479669,0.1174434],"genre_scores_gemma":[0.9721045,0.009189434,0.00368771,0.0002270944,0.0000387018,0.0001205472,0.008479314,0.00005770733,0.006094937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9963685,"threshold_uncertainty_score":0.5603402,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058498906","doi":"10.1007/s11192-011-0369-y","title":"Sex differences in research funding, productivity and impact: an analysis of Québec university professors","year":2011,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":204,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Université du Québec; Université du Québec à Montréal","funders":"McGill University","keywords":"Productivity; Scientometrics; Political science; Regional science; Sociology; Economics; Economic growth; Social science","authors":[{"name":"Vincent Larivière","is_ca":true},{"name":"Étienne Vignola‐Gagné","is_ca":false},{"name":"Christian Villeneuve","is_ca":true},{"name":"Pascal Gélinas","is_ca":false},{"name":"Yves Gingras","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.872966831153213,"gpt":0.6254438142378042,"spread":0.2475230169154089,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001647713,0.0002088528,0.0006298946,0.004029736,0.002213197,0.001830777,0.001106571,0.0006923441,0.006320647],"category_scores_gemma":[0.008983323,0.0002022567,0.0005782078,0.01160453,0.0006527941,0.0006133871,0.0006571872,0.0006202802,0.0004330476],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01986438,"about_ca_system_score_gemma":0.01520606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9687973,"about_ca_topic_score_gemma":0.9855453,"domain_scores_codex":[0.998404,0.0002666056,0.00007272782,0.0001922667,0.0005655895,0.0004989287],"domain_scores_gemma":[0.9906422,0.002515481,0.001717138,0.0002382083,0.003220214,0.001666794],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001644237,0.0000411731,0.985127,0.00002621695,0.000142827,0.0000989022,0.001536715,0.0001581567,0.0002003518,0.0002865831,0.001295589,0.01092202],"study_design_scores_gemma":[0.000005657828,0.00001464365,0.9984806,0.00001009664,0.00001894856,0.00001708018,0.0006239515,0.0001587029,0.00002433681,0.00001869809,0.0006219919,0.000005301622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932714,0.001767809,0.0001099407,0.0004482773,0.00001348268,0.00001980476,0.001642981,0.000008212246,0.002718212],"genre_scores_gemma":[0.995694,0.0004788391,0.00009094507,0.0000944022,0.000009725724,0.00001564627,0.0006851025,0.00000837486,0.002922863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9983523,"threshold_uncertainty_score":0.1441268,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["metaresearch","bibliometrics"],"domain":"incentives","study_design":"observational","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"low"},{"model":"gpt","categories":["metaresearch","bibliometrics"],"domain":"evaluation","study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"high"}],"label_agreement":"split"},{"id":"W3082051346","doi":"10.1007/s11192-020-03675-3","title":"Publishing volumes in major databases related to Covid-19","year":2020,"lang":"en","type":"article","venue":"Scientometrics","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":152,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Thompson Rivers University","funders":"Wellcome Trust","keywords":"Scopus; Coronavirus disease 2019 (COVID-19); Web of science; Publishing; Pandemic; Library science; China; MEDLINE; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Bibliometrics; 2019-20 coronavirus outbreak; Analytics; History; Medicine; Database; Computer science; Political science; Disease; Infectious disease (medical specialty); Virology; Pathology","authors":[{"name":"Jaime A. Teixeira da Silva","is_ca":false},{"name":"Panagiotis Tsigaris","is_ca":true},{"name":"Mohammadamin Erfanmanesh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2913286398736232,"gpt":0.4731993666241887,"spread":0.1818707267505655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009847582,0.003003362,0.006318618,0.1557337,0.001914024,0.01642543,0.002176478,0.002347981,0.05193015],"category_scores_gemma":[0.1404033,0.0008768836,0.002537496,0.3102295,0.001518679,0.006897502,0.00531737,0.002376469,0.02264784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003915939,"about_ca_system_score_gemma":0.01337286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005621353,"about_ca_topic_score_gemma":0.004902137,"domain_scores_codex":[0.9544817,0.003988954,0.02676904,0.003251281,0.00983375,0.001675404],"domain_scores_gemma":[0.8123209,0.0854467,0.0539315,0.007231197,0.031969,0.009100664],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001259418,0.00008988823,0.0233311,0.1579302,0.00189329,0.0009857082,0.002273209,0.0005974001,0.001192873,0.01711329,0.6548027,0.1385308],"study_design_scores_gemma":[0.0003141943,0.0000927303,0.04229163,0.0259636,0.0009913065,0.001344537,0.001556247,0.0003750009,0.001046305,0.007998092,0.917832,0.000194378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004990388,0.02916482,0.0005318701,0.002071754,0.0007713488,0.0004118158,0.9441121,0.001145015,0.01680085],"genre_scores_gemma":[0.02984823,0.07518923,0.007773052,0.0014217,0.002221877,0.002409931,0.8709741,0.0008901136,0.009271831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9901524,"threshold_uncertainty_score":0.1737237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392109487","doi":"10.1007/s11192-024-04948-x","title":"Regional disparities in Web of Science and Scopus journal coverage","year":2024,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":145,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Scopus; Web of science; Scientometrics; Data science; Regional science; Bibliometrics; World Wide Web; Computer science; Library science; Information retrieval; Political science; Sociology; MEDLINE","authors":[{"name":"Toluwase Asubiaro","is_ca":false},{"name":"Sodiq Onaolapo","is_ca":true},{"name":"David Mills","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5043046486588112,"gpt":0.5676367040364447,"spread":0.06333205537763353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002271252,0.0001388841,0.0004778397,0.003217314,0.0003496855,0.001520553,0.0005943508,0.0005111714,0.006912026],"category_scores_gemma":[0.01613598,0.000151901,0.0008487429,0.006189795,0.0005225266,0.001171362,0.001421028,0.0005301191,0.0008054636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004389824,"about_ca_system_score_gemma":0.0006972287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02313368,"about_ca_topic_score_gemma":0.03205063,"domain_scores_codex":[0.998243,0.0004035634,0.0002272747,0.0003818348,0.0002930243,0.0004514009],"domain_scores_gemma":[0.9819781,0.006921664,0.006630583,0.001246897,0.002200355,0.001022415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001863353,0.00003044948,0.9888391,0.00009218504,0.0003592977,0.00008436744,0.001191129,0.0002093348,0.0007138673,0.001621405,0.001034736,0.005637696],"study_design_scores_gemma":[0.000003111685,0.00001432186,0.997951,0.00002042473,0.0000534559,0.00006077594,0.0008413399,0.00008424892,0.00008332841,0.0002219873,0.0006610457,0.000004974435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988118,0.001353801,0.0002075654,0.000901548,0.00002389704,0.000006854313,0.004281025,0.00001974523,0.005087416],"genre_scores_gemma":[0.998004,0.0002020658,0.00007241553,0.00005888206,0.00002247984,0.000003559264,0.00121339,0.000009170027,0.0004140767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9967827,"threshold_uncertainty_score":0.04599804,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2226524777","doi":"10.1007/s11192-015-1825-x","title":"How to boost scientific production? A statistical analysis of research funding and other influencing factors","year":2016,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":137,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Quality (philosophy); Work (physics); Production (economics); Relation (database); Impact factor; Statistical analysis; Business; Marketing; Political science; Economics; Computer science; Statistics; Mathematics; Engineering; Microeconomics","authors":[{"name":"Ashkan Ebadi","is_ca":true},{"name":"Andrea Schiffauerova","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7558819682205911,"gpt":0.6277056305859157,"spread":0.1281763376346754,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0729908,0.0009088863,0.002204857,0.008181767,0.00140546,0.005072713,0.001357792,0.001502271,0.00529628],"category_scores_gemma":[0.2952228,0.0003516308,0.005007351,0.01791424,0.003173995,0.003788426,0.002381442,0.002431224,0.0007279796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002174372,"about_ca_system_score_gemma":0.008236639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003681827,"about_ca_topic_score_gemma":0.002928814,"domain_scores_codex":[0.9360216,0.0420698,0.004797689,0.003645958,0.01073076,0.002734136],"domain_scores_gemma":[0.4832613,0.4494806,0.02730817,0.01537069,0.01833891,0.006240258],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002927223,0.0005326401,0.8267071,0.0012806,0.009071062,0.0004895604,0.001358493,0.006069802,0.001902827,0.01762031,0.005323319,0.126717],"study_design_scores_gemma":[0.0003063468,0.002938377,0.8940915,0.0004060003,0.007937859,0.0005129157,0.003334938,0.03072362,0.002720177,0.04325681,0.01359668,0.0001747272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9000652,0.00843443,0.0580521,0.01007217,0.0008180346,0.0007342566,0.002537368,0.0005363062,0.01875016],"genre_scores_gemma":[0.9902155,0.0005174462,0.006704022,0.0003294356,0.000257957,0.0003334988,0.0003430563,0.00009378389,0.001205347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9918182,"threshold_uncertainty_score":0.3860169,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["metaresearch","bibliometrics"],"domain":"incentives","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["metaresearch"],"domain":"incentives","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W2340061204","doi":"10.1007/s11192-016-1953-y","title":"Characterization, description, and considerations for the use of funding acknowledgement data in Web of Science","year":2016,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":121,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Austrian Science Fund; Multiple Sclerosis Society; Impact Fund","keywords":"Acknowledgement; Citation; Computer science; Citation index; Library science; Science Citation Index; Bibliometrics; Index (typography); Scientometrics; Data science; Political science; World Wide Web","authors":[{"name":"Adèle Paul‐Hus","is_ca":true},{"name":"Nadine Desrochers","is_ca":true},{"name":"Rodrigo Costas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8693361966360683,"gpt":0.5759535144275153,"spread":0.293382682208553,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.1646956,0.001152529,0.002132979,0.02577385,0.004594745,0.03366101,0.006483003,0.005318374,0.002968706],"category_scores_gemma":[0.4580538,0.001742052,0.002499001,0.04056523,0.006107618,0.03551546,0.004830148,0.00807985,0.001172902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00849425,"about_ca_system_score_gemma":0.01373957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01511388,"about_ca_topic_score_gemma":0.02021352,"domain_scores_codex":[0.8624039,0.06921809,0.02921643,0.006014586,0.02943402,0.003712943],"domain_scores_gemma":[0.4585086,0.3694922,0.0393558,0.05993002,0.06686902,0.005844309],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007222407,0.0005582044,0.1882239,0.003284996,0.0003751554,0.0008534896,0.006556536,0.008580989,0.007030779,0.4102995,0.03156363,0.3419505],"study_design_scores_gemma":[0.0002419915,0.0005260698,0.1157795,0.01183091,0.0008020016,0.004059226,0.02394675,0.1318206,0.02308333,0.4520323,0.2350276,0.0008497785],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2254387,0.009634805,0.5621281,0.1429544,0.001112894,0.003532693,0.02056968,0.002767469,0.0318613],"genre_scores_gemma":[0.5159535,0.002585641,0.4634898,0.00246149,0.0006441375,0.00174827,0.009835994,0.0007218743,0.002559231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9742261,"threshold_uncertainty_score":0.8710039,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2734032589","doi":"10.1007/s11192-017-2452-5","title":"Tracking the emergence of synthetic biology","year":2017,"lang":"en","type":"article","venue":"Scientometrics","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":109,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Office of Naval Research; Office of Defense Programs; National Key Research and Development Program of China; Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Directorate for Biological Sciences; National Institutes of Health; Bundesministerium für Bildung und Forschung; Russian Foundation for Basic Research; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft; Wellcome Trust; Council of Scientific and Industrial Research, India; U.S. Department of Energy; U.S. Department of Defense; European Commission; Canadian Institutes of Health Research; National Science Foundation; American Heart Association; Ministry of Education, Culture, Sports, Science and Technology; Howard Hughes Medical Institute","keywords":"Synthetic biology; Systems biology; Domain (mathematical analysis); Computer science; Set (abstract data type); Benchmark (surveying); Multidisciplinary approach; Data science; Biology; Computational biology; Mathematics; Political science","authors":[{"name":"Philip Shapira","is_ca":false},{"name":"Seokbeom Kwon","is_ca":false},{"name":"Jan Youtie","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03642355739386737,"gpt":0.3285188723528308,"spread":0.2920953149589635,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008963114,0.0004441877,0.0009326498,0.04850293,0.001251116,0.007173984,0.0008235191,0.0006606382,0.002701876],"category_scores_gemma":[0.06011544,0.0003297655,0.0006633846,0.08424673,0.001380342,0.006449917,0.003622172,0.0008035183,0.000560466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004552426,"about_ca_system_score_gemma":0.002636847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006155387,"about_ca_topic_score_gemma":0.006234392,"domain_scores_codex":[0.9928885,0.001714091,0.000706103,0.0008860144,0.003320421,0.0004848844],"domain_scores_gemma":[0.9402182,0.02861908,0.01445949,0.003831143,0.01085947,0.002012584],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004231028,0.0001026641,0.5508071,0.00226793,0.0004933794,0.0005588784,0.00417781,0.01432614,0.003777131,0.1788936,0.01290241,0.2312699],"study_design_scores_gemma":[0.00005811246,0.0002555112,0.6704345,0.000861527,0.000220225,0.001007878,0.007361098,0.05793099,0.006654762,0.09496968,0.1600953,0.0001503793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8778347,0.01055372,0.02847297,0.004886326,0.0001637935,0.0001859273,0.01448361,0.0005392728,0.06287972],"genre_scores_gemma":[0.9661158,0.005587605,0.0182099,0.0001710044,0.0002058768,0.0001700337,0.007192617,0.0001153801,0.00223181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9910369,"threshold_uncertainty_score":0.04740202,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2046437697","doi":"10.1007/s11192-007-0205-6","title":"“The Triple-Helix collaboration: Why do researchers collaborate with industry and the government? What are the factors that influence the perceived barriers?”","year":2007,"lang":"en","type":"article","venue":"Scientometrics","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":108,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Foundation for Healthcare Improvement; Université Laval","funders":"","keywords":"Government (linguistics); Affect (linguistics); Set (abstract data type); Public relations; Knowledge production; Business; Marketing; Knowledge management; Political science; Sociology; Computer science","authors":[{"name":"Omar Belkhodja","is_ca":false},{"name":"Réjean Landry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03674851862201558,"gpt":0.28574997305715,"spread":0.2490014544351344,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.08485159,0.0003577525,0.0006922174,0.00284215,0.006922357,0.009938994,0.001246954,0.004366688,0.004410344],"category_scores_gemma":[0.2885779,0.0004287875,0.000452654,0.00501938,0.006822497,0.01427293,0.007107272,0.003672131,0.00106539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002846211,"about_ca_system_score_gemma":0.01168535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002221437,"about_ca_topic_score_gemma":0.00331771,"domain_scores_codex":[0.9201567,0.05534571,0.00392103,0.002962246,0.01430105,0.003313337],"domain_scores_gemma":[0.5655313,0.3295842,0.04938322,0.0102812,0.02744478,0.01777541],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001217572,0.0006173103,0.2213307,0.003085379,0.0006245959,0.001180106,0.2554348,0.001302651,0.007349043,0.2023606,0.06949156,0.2360056],"study_design_scores_gemma":[0.0007252974,0.0009116497,0.1682108,0.00275603,0.0005384846,0.002351091,0.2799137,0.009158948,0.008929384,0.3248333,0.2011466,0.0005248286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6912431,0.003569825,0.04221258,0.2189556,0.001250425,0.0003623638,0.00033177,0.0002482314,0.04182605],"genre_scores_gemma":[0.9827288,0.0008102225,0.006314059,0.008444154,0.0002788113,0.0002343816,0.0001037954,0.00005013149,0.001035637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9971579,"threshold_uncertainty_score":0.4487435,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125340956","doi":"10.1007/s11192-021-03868-4","title":"Tracking developments in artificial intelligence research: constructing and applying a new search strategy","year":2021,"lang":"en","type":"article","venue":"Scientometrics","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":106,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Social Sciences and Humanities Research Council of Canada; National Research Foundation; National Natural Science Foundation of China; Engineering and Physical Sciences Research Council; Taishan Scholar Foundation of Shandong Province; National Institutes of Health; National Science Foundation","keywords":"Profiling (computer programming); Computer science; Artificial intelligence; Multidisciplinary approach; Benchmark (surveying); Domain (mathematical analysis); Applications of artificial intelligence; Data science; Social science; Sociology","authors":[{"name":"Na Liu","is_ca":false},{"name":"Philip Shapira","is_ca":false},{"name":"Xiaoxu Yue","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4453336730238928,"gpt":0.4467547731298974,"spread":0.001421100106004602,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02128124,0.0008301558,0.001788419,0.04046053,0.001396937,0.01021426,0.001762854,0.001911204,0.00189686],"category_scores_gemma":[0.1093428,0.0005213256,0.001158204,0.04128351,0.002823881,0.01117268,0.003760954,0.0009638824,0.0007606036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003368954,"about_ca_system_score_gemma":0.005929706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008804182,"about_ca_topic_score_gemma":0.01039024,"domain_scores_codex":[0.9804254,0.01137965,0.002458951,0.001774435,0.003445932,0.0005156365],"domain_scores_gemma":[0.9256614,0.05601624,0.006316201,0.004909626,0.006039803,0.001056833],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004348015,0.0006409068,0.273132,0.002061106,0.0009068886,0.0003251278,0.007570685,0.01673191,0.003498306,0.1713347,0.005017534,0.518346],"study_design_scores_gemma":[0.0004492163,0.001908653,0.148961,0.001313804,0.001260052,0.001148265,0.01769476,0.4712196,0.006173208,0.3036068,0.04580617,0.0004584202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4915149,0.004628195,0.4510256,0.006796658,0.0001541983,0.002273857,0.003736547,0.001609278,0.03826069],"genre_scores_gemma":[0.6827282,0.001634309,0.3104765,0.0003275904,0.00009707706,0.00129406,0.001878738,0.0001116821,0.001451828],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9787188,"threshold_uncertainty_score":0.1125473,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2989484692","doi":"10.1007/s11192-019-03301-x","title":"Do articles in open access journals have more frequent altmetric activity than articles in subscription-based journals? An investigation of the research output of Finnish universities","year":2019,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Turun Yliopisto","keywords":"Altmetrics; Discipline; Scientometrics; Bibliometrics; Social media; Library science; Computer science; Sociology; Social science; World Wide Web","authors":[{"name":"Kim Holmberg","is_ca":false},{"name":"Juha Hedman","is_ca":false},{"name":"Timothy D. Bowman","is_ca":false},{"name":"Fereshteh Didegah","is_ca":true},{"name":"Mikael Laakso","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.838152280754456,"gpt":0.6455667087672443,"spread":0.1925855719872117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008427206,0.0003433434,0.000693315,0.01350868,0.001135411,0.005366983,0.0006843494,0.0008953405,0.005217871],"category_scores_gemma":[0.06390028,0.0002105929,0.0008833063,0.01801435,0.001173135,0.003730272,0.002987566,0.0004176967,0.0009842133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226279,"about_ca_system_score_gemma":0.001218159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004726922,"about_ca_topic_score_gemma":0.003222018,"domain_scores_codex":[0.991607,0.001915102,0.001827177,0.001112864,0.002727915,0.0008100394],"domain_scores_gemma":[0.9074108,0.05556415,0.02527477,0.002260821,0.006548312,0.002941198],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003525853,0.0001041115,0.9596991,0.0006300591,0.0002486451,0.000508191,0.01525324,0.0001328309,0.001136638,0.0007967094,0.0004198752,0.02071803],"study_design_scores_gemma":[0.000009326968,0.0001198294,0.9823498,0.00009192167,0.0001474513,0.0002684933,0.01358169,0.0002317582,0.0004791107,0.0004178612,0.002282898,0.00001993805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932644,0.0010677,0.0003000523,0.0002502444,0.00003563472,0.00002634208,0.0007693393,0.00001032252,0.004275949],"genre_scores_gemma":[0.9983316,0.0004019184,0.0001881568,0.00002853516,0.00007264311,0.00001940068,0.0004634517,0.00000714266,0.0004872049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9915728,"threshold_uncertainty_score":0.04456782,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["metaresearch","bibliometrics","open_science"],"domain":"evaluation","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics","open_science"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W2127540269","doi":"10.1007/s11192-012-0729-2","title":"Counting citations in the field of business and management: why use Google Scholar rather than the Web of Science","year":2012,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":104,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Web of science; Field (mathematics); Bibliometrics; Personalization; Scientometrics; Computer science; Library science; Data science; Sociology; Psychology; Political science; World Wide Web; Mathematics; MEDLINE; Law","authors":[{"name":"Nabil Amara","is_ca":true},{"name":"Réjean Landry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4692757887462023,"gpt":0.5425769812812546,"spread":0.07330119253505235,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.04463922,0.0009750396,0.003038289,0.01400515,0.003134176,0.0133092,0.003070371,0.004329376,0.003157838],"category_scores_gemma":[0.3065478,0.0005685195,0.001140321,0.03244421,0.00402086,0.01574436,0.002478321,0.004646823,0.00315547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003138158,"about_ca_system_score_gemma":0.006543644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660077,"about_ca_topic_score_gemma":0.02593478,"domain_scores_codex":[0.9498596,0.01837122,0.005009729,0.005028661,0.02045392,0.001276901],"domain_scores_gemma":[0.6821865,0.1949344,0.02108206,0.01181675,0.08345404,0.006526282],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004321421,0.0002790537,0.1149382,0.006742839,0.001656828,0.0001932846,0.004546904,0.001187843,0.003040678,0.05735733,0.1672285,0.6423965],"study_design_scores_gemma":[0.0003450229,0.0005514129,0.2150673,0.01574236,0.002408481,0.002171978,0.01957013,0.01465495,0.01194239,0.3516738,0.3651055,0.0007667359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2718603,0.1422239,0.06394572,0.4276739,0.01895714,0.0003492155,0.003185892,0.002003183,0.06980084],"genre_scores_gemma":[0.827347,0.03716256,0.07833862,0.03505163,0.01183997,0.0002669183,0.001407388,0.001211405,0.007374449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9859948,"threshold_uncertainty_score":0.2360775,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3037469314","doi":"10.1007/s11192-020-03590-7","title":"Coronavirus mapping in scientific publications: When science advances rapidly and collectively, is access to this knowledge open to society?","year":2020,"lang":"en","type":"article","venue":"Scientometrics","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação Oswaldo Cruz; Comunidad de Madrid","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Coronavirus; Sociology of scientific knowledge; Open science; Data science; Library science; Political science; Computer science; Sociology; Social science; Virology; Medicine; Physics; Infectious disease (medical specialty)","authors":[{"name":"Simone Belli","is_ca":false},{"name":"Rogério Mugnaini","is_ca":false},{"name":"Joan Baltà","is_ca":false},{"name":"Ernest Abadal","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4500580548546065,"gpt":0.5235256239953888,"spread":0.07346756914078229,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics","open_science"],"consensus_categories":[],"category_scores_codex":[0.02427856,0.0006469008,0.001258591,0.0499124,0.002517537,0.01691885,0.001114566,0.001389105,0.008502194],"category_scores_gemma":[0.1256722,0.0004841598,0.00105832,0.1186386,0.003287388,0.01460216,0.004609388,0.001390478,0.002338816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002379232,"about_ca_system_score_gemma":0.006243043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087412,"about_ca_topic_score_gemma":0.003045645,"domain_scores_codex":[0.9650543,0.01043857,0.008548581,0.003655661,0.01075166,0.00155134],"domain_scores_gemma":[0.7162728,0.1763286,0.06742885,0.01411013,0.02109627,0.004763285],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003324487,0.0001086968,0.3358547,0.02812327,0.0009613028,0.00170923,0.03308477,0.0005364317,0.003716147,0.0271995,0.03942545,0.5289481],"study_design_scores_gemma":[0.00004811612,0.0001629418,0.4684338,0.02011679,0.001127294,0.003552551,0.04172807,0.000871895,0.00298735,0.03928829,0.4214875,0.0001954899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4393268,0.3521846,0.02483422,0.05203557,0.006362748,0.001083389,0.04110705,0.001429679,0.08163585],"genre_scores_gemma":[0.8292885,0.1025723,0.03471642,0.003889674,0.004017689,0.0006985303,0.01487593,0.0005543354,0.009386424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9988855,"threshold_uncertainty_score":0.1283988,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2097269731","doi":"10.1023/b:scie.0000027677.79173.b8","title":"The classification of biomedical journals by research level","year":2004,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":89,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Science North","funders":"","keywords":"Computer science; Citation; Science Citation Index; Information retrieval; Basic research; Data science; Library science","authors":[{"name":"Grant Lewison","is_ca":true},{"name":"Guillermo Paraje","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.9272708597111224,"gpt":0.7093757539334359,"spread":0.2178951057776866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01085607,0.0006549484,0.001465609,0.05302761,0.001323508,0.008685321,0.001523511,0.001343528,0.006839219],"category_scores_gemma":[0.07827959,0.0003070242,0.001587276,0.04613135,0.001813776,0.004778899,0.002008894,0.001398194,0.004058647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002003938,"about_ca_system_score_gemma":0.002359141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890643,"about_ca_topic_score_gemma":0.002138541,"domain_scores_codex":[0.9832947,0.005352539,0.002511806,0.001200977,0.006824457,0.0008154605],"domain_scores_gemma":[0.9234473,0.03519618,0.01343093,0.00613814,0.01856571,0.0032218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009344688,0.0004278414,0.443021,0.001882342,0.001239364,0.000202275,0.00125315,0.001334534,0.007653689,0.02596494,0.02451218,0.4915742],"study_design_scores_gemma":[0.0003189424,0.0008707785,0.80324,0.001008271,0.0013052,0.001269559,0.002922704,0.01746457,0.005496149,0.1025559,0.0633321,0.0002158536],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7224741,0.04807518,0.08663456,0.01959398,0.003743684,0.0009223208,0.02700063,0.001576326,0.08997918],"genre_scores_gemma":[0.8882331,0.009036931,0.08028091,0.001277142,0.002174074,0.0002631705,0.01115215,0.0001766513,0.00740598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9469724,"threshold_uncertainty_score":0.05741304,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["bibliometrics","metaresearch"],"domain":"evaluation","study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["metaresearch","bibliometrics"],"domain":"evaluation","study_design":"observational","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"split"},{"id":"W2114111800","doi":"10.1007/s11192-009-0035-9","title":"Why it has become more difficult to predict Nobel Prize winners: a bibliometric analysis of nominees and winners of the chemistry and physics prizes (1901–2007)","year":2009,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":86,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Citation; Fragmentation (computing); Attribution; Hierarchy; Field (mathematics); Citation analysis; Data science; Sociology; Library science; Political science; Psychology; Computer science; Mathematics; Law","authors":[{"name":"Yves Gingras","is_ca":true},{"name":"Matthew L. Wallace","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2500444637851816,"gpt":0.4672281133466309,"spread":0.2171836495614493,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01019639,0.0001884936,0.0005553055,0.009608462,0.0008544486,0.003374846,0.0007018349,0.0008492339,0.002184233],"category_scores_gemma":[0.06711905,0.0001839983,0.000382451,0.01652112,0.0008176305,0.00348255,0.00113649,0.001308013,0.001097968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472889,"about_ca_system_score_gemma":0.001919142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02366875,"about_ca_topic_score_gemma":0.03727423,"domain_scores_codex":[0.9967338,0.0009906954,0.000362148,0.000405473,0.001068943,0.0004390164],"domain_scores_gemma":[0.9613413,0.01370349,0.01044344,0.001904459,0.01042897,0.002178383],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002707423,0.0001122461,0.831085,0.0002674075,0.0004300763,0.000116559,0.002806856,0.0008008785,0.000300427,0.006915276,0.035761,0.1211336],"study_design_scores_gemma":[0.00001679007,0.00004437111,0.9710269,0.0001660028,0.0001022183,0.0001261459,0.003665296,0.001008156,0.0003701426,0.002791074,0.02064688,0.00003613144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475361,0.006738387,0.00103599,0.02615638,0.0005376282,0.00001926961,0.003232609,0.00004469892,0.01469892],"genre_scores_gemma":[0.9917777,0.002264731,0.0007727471,0.0007043189,0.0004897671,0.00001654044,0.002076078,0.00003333698,0.001864724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9903916,"threshold_uncertainty_score":0.05392432,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2044326206","doi":"10.1007/s11192-008-0220-2","title":"A new look at evidence of scholarly citation in citation indexes and from web sources","year":2007,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":85,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Citation; Web of science; Library science; Citation analysis; Webometrics; Citation impact; Bibliometrics; Scholarly communication; Computer science; Sample (material); Impact factor; World Wide Web; Political science; MEDLINE; Publishing","authors":[{"name":"Liwen Vaughan","is_ca":true},{"name":"Debora Shaw","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5726813817650799,"gpt":0.5567807477511177,"spread":0.01590063401396213,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008835684,0.0005922791,0.001411922,0.05033898,0.001946635,0.01337978,0.00147489,0.002411094,0.01164822],"category_scores_gemma":[0.08526275,0.0005054734,0.001490795,0.05118657,0.004460717,0.02082638,0.005228026,0.003044316,0.001409308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429236,"about_ca_system_score_gemma":0.001511658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002521014,"about_ca_topic_score_gemma":0.005235863,"domain_scores_codex":[0.9903353,0.002574511,0.001333788,0.0007921261,0.004573605,0.000390565],"domain_scores_gemma":[0.8029574,0.1479086,0.01886509,0.008409617,0.01879698,0.003062421],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009590581,0.0003202641,0.5586047,0.003559727,0.002546305,0.001914372,0.01051922,0.0004028852,0.006077885,0.1084786,0.01905551,0.2875615],"study_design_scores_gemma":[0.000145262,0.0005414673,0.6830616,0.003899182,0.003147718,0.005374757,0.02113774,0.001504033,0.005495341,0.1417984,0.1336245,0.0002699649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5905818,0.1373241,0.01901542,0.06165243,0.002223657,0.00008520686,0.01003707,0.0005071862,0.1785731],"genre_scores_gemma":[0.9538846,0.0217498,0.007078629,0.003513538,0.003666196,0.0000641267,0.003234336,0.0002290271,0.006579754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9911643,"threshold_uncertainty_score":0.04672813,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics","scholarly_communication"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W2004098455","doi":"10.1007/s11192-013-1069-6","title":"Effect of collaboration network structure on knowledge creation and technological performance: the case of biotechnology in Canada","year":2013,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Concordia University","funders":"","keywords":"Network structure; Productivity; Quality (philosophy); Production (economics); Knowledge management; Field (mathematics); Network analysis; Biotechnology; Business; Computer science; Data science; Engineering; Biology; Economics","authors":[{"name":"Hamidreza Eslami","is_ca":true},{"name":"Ashkan Ebadi","is_ca":true},{"name":"Andrea Schiffauerova","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1136474693055103,"gpt":0.4694544594801149,"spread":0.3558069901746047,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002002522,0.0002211309,0.0005154482,0.003558956,0.005943373,0.005354335,0.001378285,0.001161578,0.005762218],"category_scores_gemma":[0.01230771,0.0002074568,0.000468812,0.006608543,0.002686948,0.001698719,0.002466998,0.00114419,0.0003671686],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06448109,"about_ca_system_score_gemma":0.08379865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904212,"about_ca_topic_score_gemma":0.9934772,"domain_scores_codex":[0.9980388,0.0003422557,0.00006828051,0.0001782263,0.0005077443,0.0008646346],"domain_scores_gemma":[0.9854917,0.005463616,0.001526259,0.0002688459,0.003896637,0.003352892],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007472167,0.0004197754,0.8588631,0.0002460743,0.0003107541,0.001847961,0.007813633,0.03241394,0.001010102,0.03833342,0.008593136,0.04940087],"study_design_scores_gemma":[0.0002641322,0.0001503054,0.8973914,0.0002088747,0.000378234,0.0002569548,0.0406527,0.03622686,0.001030968,0.006561502,0.01676314,0.0001149455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797242,0.0004692452,0.0001841408,0.002113692,0.00000777356,0.00002650096,0.0005227789,0.00002009633,0.01693146],"genre_scores_gemma":[0.9979704,0.0001819977,0.0001174511,0.00003909312,0.000002917109,0.000004187247,0.0001258993,0.000002357,0.001555646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9979975,"threshold_uncertainty_score":0.4678453,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2064596000","doi":"10.1007/s11192-013-1118-1","title":"The effect of characteristics of title on citation rates of articles","year":2013,"lang":"en","type":"article","venue":"Scientometrics","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":79,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Citation; Acronym; Information retrieval; Computer science; Sentence; Scopus; Citation analysis; Statistics; Library science; Mathematics; Natural language processing; MEDLINE; Linguistics; Biology","authors":[{"name":"Fatemeh Rostami","is_ca":false},{"name":"Asghar Mohammadpoorasl","is_ca":false},{"name":"Mohammad Hajizadeh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03765010945226892,"gpt":0.277116055331689,"spread":0.2394659458794201,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01199111,0.0003467069,0.001004414,0.004832454,0.000709475,0.004411238,0.0007212222,0.001348317,0.006254908],"category_scores_gemma":[0.1437991,0.0002452485,0.001539773,0.007351068,0.0005797513,0.002653198,0.0008335627,0.001093146,0.001447006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004627013,"about_ca_system_score_gemma":0.001086328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722466,"about_ca_topic_score_gemma":0.001779567,"domain_scores_codex":[0.9934599,0.002708787,0.001368923,0.0007350443,0.001202239,0.0005249961],"domain_scores_gemma":[0.5269961,0.3884511,0.05296552,0.007888907,0.01141288,0.01228538],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004308422,0.0003572976,0.9715844,0.0002850981,0.001066528,0.000306496,0.0003591791,0.0006452661,0.004597346,0.000251514,0.0008614694,0.01537709],"study_design_scores_gemma":[0.0001015616,0.0008613557,0.9932272,0.00004796166,0.0006275137,0.0003571124,0.0004517903,0.00102998,0.001942807,0.0004961259,0.0008251101,0.00003151967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937673,0.002125687,0.0003247386,0.000391761,0.0001331799,0.00001361045,0.001448282,0.00003971902,0.001755926],"genre_scores_gemma":[0.9965795,0.0005196283,0.0001920922,0.00005893892,0.0002274623,0.00001072143,0.001123507,0.00004658786,0.001241561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9951676,"threshold_uncertainty_score":0.06341583,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2064363624","doi":"10.1023/b:scie.0000034389.14825.bc","title":"Links to commercial websites as a source of business information","year":2004,"lang":"en","type":"article","venue":"Scientometrics","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":78,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Webometrics; Hyperlink; Business; Revenue; Scopus; China; Link analysis; Profit (economics); Competitive intelligence; Business information; Marketing; World Wide Web; Computer science; Web page; Accounting; Economics","authors":[{"name":"Liwen Vaughan","is_ca":true},{"name":"Guozhu Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02091219160032057,"gpt":0.2720124649186993,"spread":0.2511002733183787,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002757637,0.000306978,0.0003786067,0.03449105,0.001207257,0.01023684,0.0006510656,0.001439055,0.005193559],"category_scores_gemma":[0.03951193,0.0002728088,0.0003854585,0.04192793,0.000791029,0.007196833,0.002481555,0.0009658162,0.001437655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318496,"about_ca_system_score_gemma":0.001101136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003101641,"about_ca_topic_score_gemma":0.006009825,"domain_scores_codex":[0.9954265,0.001285976,0.0002665718,0.0002578346,0.002470431,0.0002927808],"domain_scores_gemma":[0.9437722,0.03599585,0.009972046,0.00218451,0.005351294,0.002724176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004558527,0.0005465274,0.7153398,0.00120556,0.0004236645,0.0005951701,0.006631552,0.002316484,0.005057197,0.05594383,0.01530493,0.1961793],"study_design_scores_gemma":[0.00006727305,0.0002288738,0.8031439,0.001149201,0.0008594001,0.002054144,0.01127051,0.02901231,0.01265587,0.06822609,0.07119215,0.000140163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8883247,0.006717523,0.005833188,0.002036822,0.0001398959,0.00005668353,0.004717991,0.0002433268,0.09192985],"genre_scores_gemma":[0.9911813,0.001778107,0.001851441,0.00006150868,0.0001738416,0.00001877416,0.001826673,0.00005102313,0.003057387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9655089,"threshold_uncertainty_score":0.01737422,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2954205856","doi":"10.1007/s11192-019-03157-1","title":"How collaboration type, publication place, funding and author’s role affect citations received by publications from Africa: A bibliometric study of LIS research from 1996 to 2015","year":2019,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":77,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Citation; Incentive; Library science; Political science; Citation impact; Bibliometrics; Public relations; Economics; Computer science","authors":[{"name":"Toluwase Asubiaro","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5915490014438257,"gpt":0.5835091969205798,"spread":0.00803980452324593,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002998946,0.0002428873,0.0003584985,0.01185442,0.0008138345,0.003312084,0.000425761,0.0005551857,0.001990465],"category_scores_gemma":[0.02686431,0.0001790599,0.0004459891,0.03885023,0.0006809186,0.00352083,0.001474898,0.0004817264,0.0005012326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699123,"about_ca_system_score_gemma":0.002242776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01896984,"about_ca_topic_score_gemma":0.02937439,"domain_scores_codex":[0.9983753,0.0004585388,0.0002983513,0.0001966891,0.0003196202,0.0003514568],"domain_scores_gemma":[0.9700873,0.01338755,0.01231183,0.000402321,0.002813828,0.0009971249],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001463903,0.00003406358,0.9684785,0.0003787478,0.0001577026,0.0003584419,0.008503473,0.0002652941,0.0003015206,0.0009838714,0.0009397235,0.01945221],"study_design_scores_gemma":[0.000005637397,0.00003798697,0.9820998,0.000305525,0.0001230744,0.0002511675,0.01180182,0.0002278651,0.000342756,0.0002044555,0.004588941,0.0000110554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936109,0.002094368,0.00008429544,0.0004030165,0.00001491585,0.000006699869,0.001375226,0.000003882904,0.002406607],"genre_scores_gemma":[0.9974971,0.001210095,0.00009600019,0.00002001899,0.00001783549,0.000006556043,0.0004735088,0.000005237262,0.0006736364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9970011,"threshold_uncertainty_score":0.03771883,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998363348","doi":"10.1007/s11192-019-03339-x","title":"The role of Web of Science publications in China’s tenure system","year":2020,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"China; Web of science; Political science; World Wide Web; Library science; Computer science; Sociology; MEDLINE; Law","authors":[{"name":"Fei Shu","is_ca":true},{"name":"Bikun Chen","is_ca":false},{"name":"Junping Qiu","is_ca":false},{"name":"Cassidy R. Sugimoto","is_ca":false},{"name":"Vincent Larivière","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4024573698676067,"gpt":0.5294233401406908,"spread":0.1269659702730841,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003045373,0.000187813,0.0004729696,0.01038425,0.002637438,0.006145773,0.0008338161,0.0007768839,0.007134117],"category_scores_gemma":[0.01195044,0.0001540016,0.0004064218,0.01208227,0.001552101,0.003137837,0.002246161,0.0005898457,0.0005770917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004644235,"about_ca_system_score_gemma":0.00825647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03187343,"about_ca_topic_score_gemma":0.04379569,"domain_scores_codex":[0.9973245,0.0005299996,0.0002616337,0.0002742269,0.000922863,0.0006867874],"domain_scores_gemma":[0.9832315,0.004982883,0.003719344,0.000606643,0.003628501,0.003831079],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001624987,0.0001197711,0.8928798,0.0002247788,0.0002167271,0.000527448,0.002495418,0.001113202,0.00106007,0.02910672,0.004563119,0.06753056],"study_design_scores_gemma":[0.00001941685,0.00006174831,0.9826317,0.00006330638,0.00009959198,0.00008007677,0.002201116,0.002824725,0.0003125308,0.003929456,0.007752264,0.00002399857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721614,0.002375521,0.0004229796,0.002935368,0.00008425253,0.00002234673,0.0005727888,0.00004011795,0.02138521],"genre_scores_gemma":[0.997908,0.0002866322,0.0000775164,0.00006574202,0.00005481857,0.000005056478,0.0001090112,0.000004260821,0.001489023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9969546,"threshold_uncertainty_score":0.06337583,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2906809950","doi":"10.1007/s11192-018-2987-0","title":"Publishing in English or another language: An inclusive study of scholar’s language publication preferences in the natural, social and interdisciplinary sciences","year":2019,"lang":"en","type":"article","venue":"Scientometrics","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":70,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Publishing; Publication; Reputation; English language; Contrast (vision); Sociology; Linguistics; First language; Inclusion (mineral); Social science; Psychology; Computer science; Political science; Mathematics education","authors":[{"name":"Daniel Stockemer","is_ca":true},{"name":"Michael J. Wigginton","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06136419564155948,"gpt":0.3791982291499634,"spread":0.3178340335084039,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01882716,0.000165198,0.0006499175,0.01270321,0.002942256,0.009776506,0.0007529383,0.0008135643,0.002853868],"category_scores_gemma":[0.121754,0.0001805997,0.0004002463,0.01851793,0.002192082,0.00894611,0.004934051,0.00114868,0.0003856555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254769,"about_ca_system_score_gemma":0.002777195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001633566,"about_ca_topic_score_gemma":0.003468252,"domain_scores_codex":[0.9824254,0.009688005,0.002463368,0.0005767361,0.003830323,0.001016208],"domain_scores_gemma":[0.821491,0.1224256,0.03306049,0.003820362,0.012333,0.006869439],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009888301,0.0004134726,0.6537842,0.0004969549,0.0002885087,0.0006665688,0.2585555,0.0001369372,0.001968196,0.009380591,0.001683228,0.07163703],"study_design_scores_gemma":[0.00007373967,0.0005267221,0.4684516,0.0004424411,0.0002474689,0.00139751,0.5006793,0.001058308,0.001654731,0.00638132,0.01896688,0.0001198899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914522,0.0006019445,0.0003650016,0.0009186027,0.00003144085,0.00001922192,0.0001266265,0.000005620087,0.006479344],"genre_scores_gemma":[0.9985729,0.0003408778,0.000301075,0.0001677879,0.00004561073,0.00001716182,0.00009014954,0.00001040978,0.0004538755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9902235,"threshold_uncertainty_score":0.09956878,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1998258485","doi":"10.1023/b:scie.0000045122.93018.2a","title":"Exploring website features for business information","year":2004,"lang":"en","type":"article","venue":"Scientometrics","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Webometrics; Ranking (information retrieval); Data collection; Business; China; Marketing; Computer science; Information retrieval; World Wide Web; Statistics; Political science; Mathematics","authors":[{"name":"Liwen Vaughan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.122088333432935,"gpt":0.283840460132473,"spread":0.161752126699538,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0009538384,0.000257016,0.0002927771,0.008195522,0.0006169925,0.004522705,0.0003598123,0.0007014023,0.004808107],"category_scores_gemma":[0.01953477,0.0001675327,0.0005456273,0.01134657,0.000366209,0.006384333,0.001042281,0.0005845387,0.0008665167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007065797,"about_ca_system_score_gemma":0.0004430941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072056,"about_ca_topic_score_gemma":0.004938869,"domain_scores_codex":[0.9990487,0.000272244,0.00007508633,0.0001122008,0.0003619658,0.0001299764],"domain_scores_gemma":[0.984673,0.01015863,0.002507275,0.0007480836,0.001227186,0.000685885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000757273,0.0005144918,0.7250847,0.0006905466,0.0002352137,0.0004456622,0.002546182,0.002075938,0.009025275,0.0144665,0.005936396,0.2382218],"study_design_scores_gemma":[0.00004088428,0.0004483278,0.9123383,0.0002108442,0.0003153612,0.0009751069,0.005307579,0.03097166,0.006460475,0.02875249,0.01409678,0.00008230247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846128,0.000742273,0.00276331,0.0003838194,0.00001752682,0.00001920708,0.001158726,0.000159457,0.01014279],"genre_scores_gemma":[0.9972116,0.0001454699,0.001493668,0.00001697846,0.00002213276,0.000005220218,0.0005252162,0.00003070601,0.0005489321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9918045,"threshold_uncertainty_score":0.01608467,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2585136728","doi":"10.1007/s11192-017-2252-y","title":"Development trend forecasting for coherent light generator technology based on patent citation network analysis","year":2017,"lang":"en","type":"article","venue":"Scientometrics","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":63,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"National University of Defense Technology; National Natural Science Foundation of China","keywords":"Trademark; Computer science; Technology forecasting; Autoregressive integrated moving average; Citation; Network analysis; Development (topology); Patent office; Data science; Operations research; Artificial intelligence; Time series; Engineering; Machine learning; Mathematics","authors":[{"name":"Hanlin You","is_ca":false},{"name":"Mengjun Li","is_ca":false},{"name":"Keith W. Hipel","is_ca":true},{"name":"Jiang Jiang","is_ca":false},{"name":"Bingfeng Ge","is_ca":false},{"name":"Hante Duan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3621151555736334,"gpt":0.4023682443934626,"spread":0.04025308881982914,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0009479387,0.000465659,0.0004973254,0.007701457,0.0003377639,0.001354741,0.0004764143,0.0007895296,0.001693008],"category_scores_gemma":[0.005054339,0.0001679369,0.0007570018,0.005523775,0.0001400237,0.002267809,0.0003110061,0.0004595634,0.0005100957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008809411,"about_ca_system_score_gemma":0.0005849121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007221295,"about_ca_topic_score_gemma":0.005314647,"domain_scores_codex":[0.9996448,0.00004311637,0.00003162462,0.00009895599,0.0001424071,0.00003912836],"domain_scores_gemma":[0.9977772,0.001055006,0.0004627263,0.000124035,0.0005153433,0.00006565559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000338299,0.0002593594,0.2638641,0.0003624607,0.0003260758,0.0003852223,0.0001973399,0.3831938,0.009785639,0.01023669,0.00544879,0.3256022],"study_design_scores_gemma":[0.000007095246,0.00003310718,0.02153241,0.00001690537,0.00007667955,0.00004281005,0.00003205888,0.9721645,0.00241843,0.002542314,0.001114662,0.00001902299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8945023,0.001836922,0.09104808,0.0005438103,0.00011289,0.0000660951,0.003003419,0.0006089422,0.008277453],"genre_scores_gemma":[0.9882018,0.0006184765,0.008498128,0.00001378653,0.00005018576,0.00002922512,0.001311386,0.00002282778,0.001254117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9922985,"threshold_uncertainty_score":0.01435852,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2075464897","doi":"10.1007/s11192-012-0859-6","title":"Characterizing a scientific elite (B): publication and citation patterns of the most highly cited scientists in environmental science and ecology","year":2012,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":62,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Citation; Publishing; Publication; Elite; Productivity; Citation analysis; Library science; Ecology; Political science; Sociology; Biology; Computer science; Law","authors":[{"name":"John N. Parker","is_ca":false},{"name":"Stefano Allesina","is_ca":false},{"name":"Christopher J. Lortie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2644749148570341,"gpt":0.4612345109392629,"spread":0.1967595960822288,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003408341,0.0003222239,0.0006218348,0.01725854,0.001058386,0.00360312,0.0005927111,0.001083505,0.005527813],"category_scores_gemma":[0.01676976,0.0001471827,0.0005382033,0.01836624,0.0005496798,0.002729678,0.001756083,0.0004593784,0.001701238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004499309,"about_ca_system_score_gemma":0.0006471497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002359699,"about_ca_topic_score_gemma":0.002342661,"domain_scores_codex":[0.9984009,0.0002588871,0.0002842167,0.0002903015,0.0004967328,0.0002688934],"domain_scores_gemma":[0.9854833,0.004075964,0.00466306,0.000884048,0.002851322,0.002042331],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003567795,0.0002336379,0.947202,0.0001783369,0.000485655,0.0001133129,0.0005911417,0.0006769756,0.005961523,0.001388225,0.001543547,0.04126893],"study_design_scores_gemma":[0.00002707888,0.0001699811,0.9893036,0.00003985628,0.0001966589,0.0002867825,0.0009898026,0.003030191,0.001790098,0.00220979,0.001935749,0.00002031645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899093,0.0005724007,0.00144402,0.0002416024,0.00001834164,0.00002255749,0.001641869,0.00003695001,0.006113051],"genre_scores_gemma":[0.9967626,0.0002517739,0.000720033,0.0000498575,0.00009506748,0.00001343885,0.001203532,0.00001494062,0.0008887996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9965917,"threshold_uncertainty_score":0.0184924,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["bibliometrics","metaresearch"],"domain":"incentives","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics","metaresearch"],"domain":"evaluation","study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W1987570886","doi":"10.1007/s11192-010-0162-3","title":"The discipline dependence of citation statistics","year":2010,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Academy of Sciences; National Science Council","keywords":"Citation; Field (mathematics); Citation analysis; Value (mathematics); Index (typography); Citation index; Scientometrics; Computer science; Data science; Statistics; Library science; Mathematics; World Wide Web","authors":[{"name":"Eva Lillquist","is_ca":true},{"name":"Sheldon Green","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5142649586072647,"gpt":0.6001517069820625,"spread":0.08588674837479782,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01520234,0.0005329359,0.001790772,0.0119014,0.001180899,0.003567901,0.001803731,0.002435546,0.006761391],"category_scores_gemma":[0.1882225,0.0009700361,0.00149088,0.01255359,0.003323815,0.006003823,0.002027434,0.003345175,0.001780864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900749,"about_ca_system_score_gemma":0.001970442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005809083,"about_ca_topic_score_gemma":0.00409335,"domain_scores_codex":[0.9918525,0.003914693,0.0003980811,0.001284439,0.00211295,0.0004373604],"domain_scores_gemma":[0.6922049,0.255186,0.01601282,0.01568895,0.01791799,0.002989452],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004969744,0.0002640114,0.126988,0.0006196144,0.0005983858,0.0006958736,0.001572072,0.04810409,0.00427194,0.6602622,0.01984358,0.1362834],"study_design_scores_gemma":[0.00007473778,0.0001845331,0.1655501,0.0003154542,0.0004162095,0.001205008,0.0005063659,0.200306,0.002910641,0.6141388,0.01417439,0.000217766],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6015341,0.02349095,0.2665809,0.01425574,0.0005893582,0.0001214083,0.003100549,0.001746398,0.08858065],"genre_scores_gemma":[0.970708,0.006779477,0.008989283,0.000884798,0.001217586,0.00006476603,0.001285308,0.0003770684,0.009693814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9880986,"threshold_uncertainty_score":0.08039862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2027998681","doi":"10.1007/s11192-009-0424-0","title":"Citation structure of an emerging research area on the verge of application","year":2008,"lang":"en","type":"article","venue":"Scientometrics","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":57,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Thomson Reuters (Canada)","funders":"","keywords":"Pace; Commercialization; Demise; Citation; Bibliometrics; Nanotechnology; Data science; Engineering ethics; Computer science; Business; Engineering; Political science; Library science; Materials science; Marketing; Physics","authors":[{"name":"Henry Small","is_ca":true},{"name":"Paul Upham","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1288690603491131,"gpt":0.3997077030823721,"spread":0.270838642733259,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001827514,0.0001908821,0.000749459,0.02302215,0.001352831,0.004687094,0.0007030352,0.001087346,0.01040778],"category_scores_gemma":[0.02904852,0.0001489313,0.0004510502,0.02611066,0.00121967,0.003470301,0.001574693,0.0008039105,0.001577945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389138,"about_ca_system_score_gemma":0.001685805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002825231,"about_ca_topic_score_gemma":0.003526817,"domain_scores_codex":[0.9987471,0.0002337514,0.0001677018,0.0002036876,0.0004571663,0.0001905103],"domain_scores_gemma":[0.9578745,0.0196087,0.006251534,0.001551367,0.01162328,0.003090611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00109138,0.0003496381,0.5862386,0.0009933255,0.0004536578,0.0005491553,0.001707858,0.01388887,0.01312651,0.2295869,0.02596198,0.1260523],"study_design_scores_gemma":[0.0001492052,0.0004411612,0.6431904,0.0003337398,0.0004743402,0.000942576,0.002758982,0.06110372,0.005888107,0.2335859,0.05099585,0.0001360726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362638,0.003792944,0.00384753,0.004524661,0.0001466642,0.00003247338,0.007539983,0.0002425543,0.0436095],"genre_scores_gemma":[0.989327,0.0008404194,0.001518518,0.0001022193,0.0001987615,0.00002397417,0.004078394,0.00003525502,0.003875512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9769778,"threshold_uncertainty_score":0.03481746,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2080497488","doi":"10.1007/s11192-014-1457-6","title":"Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology","year":2014,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Discipline; Variety (cybernetics); Interdisciplinarity; Identification (biology); Epistemology; Sociology; Data science; Engineering ethics; Biology; Social science; Computer science; Ecology; Philosophy","authors":[{"name":"Shiji Chen","is_ca":true},{"name":"Clément Arsenault","is_ca":true},{"name":"Yves Gingras","is_ca":true},{"name":"Vincent Larivière","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4283907410291913,"gpt":0.5475682690263628,"spread":0.1191775279971715,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007392177,0.0004085462,0.0007500388,0.01457092,0.004915513,0.01274907,0.001726255,0.002728606,0.005889349],"category_scores_gemma":[0.02286102,0.0004226052,0.0009106637,0.03797871,0.008491612,0.01710358,0.00621555,0.00228112,0.0005337485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006379879,"about_ca_system_score_gemma":0.0062511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032677,"about_ca_topic_score_gemma":0.02193854,"domain_scores_codex":[0.9938059,0.003861298,0.0001883105,0.000505753,0.001043425,0.000595299],"domain_scores_gemma":[0.9722821,0.02022944,0.002603167,0.001303332,0.00171587,0.001866121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001835641,0.0001901316,0.06203382,0.0006011521,0.0002135463,0.00274125,0.03561674,0.009027052,0.001873704,0.785042,0.003120831,0.09935611],"study_design_scores_gemma":[0.00005448825,0.00009213208,0.08113302,0.0006091113,0.0001522502,0.001638516,0.08348007,0.02804393,0.001595363,0.7067403,0.09636317,0.00009775782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7486433,0.01358397,0.04514689,0.03010408,0.0001752926,0.00009034866,0.0004361011,0.0001252043,0.1616948],"genre_scores_gemma":[0.9811476,0.002910478,0.01268345,0.000352049,0.00007203856,0.00002564788,0.0001145925,0.00003453255,0.002659564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9854291,"threshold_uncertainty_score":0.04628944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2035792097","doi":"10.1007/s11192-009-0008-z","title":"Discovery of factors influencing patent value based on machine learning in patents in the field of nanotechnology","year":2009,"lang":"en","type":"article","venue":"Scientometrics","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":56,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Selection (genetic algorithm); Field (mathematics); Patent analysis; Value (mathematics); Data science; Computer science; Feature selection; Set (abstract data type); Artificial intelligence; Machine learning; Knowledge management; Mathematics","authors":[{"name":"Scott D. Bass","is_ca":true},{"name":"Lukasz Kurgan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1052886624033666,"gpt":0.2640623858484547,"spread":0.1587737234450881,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00450908,0.0003091505,0.0005718798,0.004993212,0.0005809067,0.002237817,0.0005944063,0.001027952,0.001451313],"category_scores_gemma":[0.03887236,0.0001578859,0.0008529092,0.005431281,0.0007671334,0.001765676,0.0005849657,0.001025837,0.000330244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057192,"about_ca_system_score_gemma":0.001547715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006012537,"about_ca_topic_score_gemma":0.006388027,"domain_scores_codex":[0.9979868,0.0008404463,0.0002229951,0.0002133219,0.0004602807,0.000276149],"domain_scores_gemma":[0.926501,0.05866786,0.009005412,0.001347842,0.003279643,0.001198175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001483994,0.0001866939,0.9810562,0.00002381017,0.0001718641,0.00008510225,0.00010575,0.001756074,0.0004421135,0.0005701779,0.0002189166,0.01523496],"study_design_scores_gemma":[0.00002436673,0.0001537143,0.9613262,0.00001984726,0.0001705598,0.0001467314,0.0003747612,0.03381352,0.001031353,0.002505068,0.0004142484,0.00001946646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979405,0.0001778622,0.0006246431,0.0002073628,0.000006481962,0.000008437511,0.0001079087,0.000007901841,0.0009189319],"genre_scores_gemma":[0.9994723,0.00004227158,0.000265486,0.00001184297,0.00001244413,0.000002619068,0.00008755085,0.000002150174,0.0001033935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9950068,"threshold_uncertainty_score":0.02384657,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4221058759","doi":"10.1007/s11192-022-04331-8","title":"Music information visualization and classical composers discovery: an application of network graphs, multidimensional scaling, and support vector machines","year":2022,"lang":"en","type":"article","venue":"Scientometrics","topic":"Music and Audio Processing","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Multidimensional scaling; Computer science; Visualization; Pairwise comparison; Similarity (geometry); Music theory; Musical; Musicology; Realm; Musical composition; Classical music; Artificial intelligence; Art; Machine learning; Visual arts; History","authors":[{"name":"Patrick Georges","is_ca":true},{"name":"Aylin Seçkin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01655784240464562,"gpt":0.2749442264079385,"spread":0.2583863840032928,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003033037,0.001019088,0.0007073851,0.009784624,0.000638808,0.002812946,0.0006329083,0.0006738,0.001675738],"category_scores_gemma":[0.01448851,0.0003252693,0.0007461623,0.007448383,0.0007802515,0.001766605,0.001166433,0.0007809265,0.0002575193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009550105,"about_ca_system_score_gemma":0.0007227227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00672006,"about_ca_topic_score_gemma":0.004594712,"domain_scores_codex":[0.9980933,0.001078973,0.0001270501,0.0002258659,0.0004200618,0.00005482222],"domain_scores_gemma":[0.9888366,0.008614822,0.0008047172,0.000668832,0.0008720781,0.0002029094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004477534,0.0003415086,0.02763517,0.0005518294,0.0004210615,0.0004589295,0.002174879,0.2180717,0.006669032,0.05384782,0.01037917,0.6790012],"study_design_scores_gemma":[0.00002240118,0.00004744853,0.004846722,0.00003717737,0.00002620722,0.00008819734,0.0004672866,0.9610222,0.002325789,0.02770654,0.003373461,0.00003655213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1463885,0.001170389,0.8377823,0.002396157,0.0001605661,0.0002200341,0.001599076,0.006111904,0.004171215],"genre_scores_gemma":[0.4629458,0.0004090602,0.5352931,0.00004929324,0.0000679908,0.0001344569,0.0005303951,0.0001270345,0.0004427218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9902154,"threshold_uncertainty_score":0.01604044,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1965490711","doi":"10.1007/s11192-006-0100-6","title":"Why are hyperlinks to business Websites created? A content analysis","year":2006,"lang":"en","type":"article","venue":"Scientometrics","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Hyperlink; Competitor analysis; Link analysis; Context (archaeology); Link (geometry); Content analysis; Business information; Business; Sample (material); Computer science; World Wide Web; Marketing; Advertising; Web page; Sociology; Geography","authors":[{"name":"Liwen Vaughan","is_ca":true},{"name":"Yijun Gao","is_ca":true},{"name":"Margaret E. I. Kipp","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05904947856334476,"gpt":0.2712085113588207,"spread":0.2121590327954759,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003266668,0.0002468915,0.0004083336,0.01937854,0.001440341,0.004964072,0.0005545314,0.0008758846,0.00352367],"category_scores_gemma":[0.04613775,0.0002560738,0.000558956,0.01560835,0.001685585,0.006537599,0.001592407,0.0007355704,0.000779736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682003,"about_ca_system_score_gemma":0.001504933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982343,"about_ca_topic_score_gemma":0.001938595,"domain_scores_codex":[0.9958888,0.001421081,0.0003995535,0.0003201551,0.00168468,0.0002857548],"domain_scores_gemma":[0.9043132,0.07465212,0.006930878,0.002390679,0.01065655,0.001056736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000854635,0.0006142636,0.51664,0.002078529,0.0004466728,0.001005838,0.03945297,0.001291547,0.01536638,0.04627999,0.01240116,0.363568],"study_design_scores_gemma":[0.00008898169,0.00043851,0.7608259,0.001623371,0.001221798,0.002049499,0.05296309,0.02222551,0.02563626,0.04401217,0.08878421,0.0001307063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623609,0.001496361,0.006536565,0.001831913,0.00008955349,0.0001919699,0.002329955,0.0001798832,0.02498282],"genre_scores_gemma":[0.9894517,0.001011485,0.004295152,0.0002325762,0.0002013678,0.0001417671,0.001682282,0.0001134313,0.002870203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9806215,"threshold_uncertainty_score":0.01727599,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2524791359","doi":"10.1007/s11192-016-2134-8","title":"The linguistic patterns and rhetorical structure of citation context: an approach using n-grams","year":2016,"lang":"en","type":"article","venue":"Scientometrics","topic":"Topic Modeling","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Rhetorical question; Citation; Linguistics; Context (archaeology); Computer science; Linguistic context; Function (biology); Natural (archaeology); Natural language processing; Information retrieval; Linguistic analysis; History; Library science; Philosophy; Biology","authors":[{"name":"Marc Bertin","is_ca":true},{"name":"Iana Atanassova","is_ca":false},{"name":"Cassidy R. Sugimoto","is_ca":false},{"name":"Vincent Larivière","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08286568018633636,"gpt":0.3170019493522849,"spread":0.2341362691659486,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006477996,0.0009318867,0.001268398,0.02799213,0.001981051,0.005871946,0.001271942,0.001752348,0.002325241],"category_scores_gemma":[0.03952212,0.0006491996,0.001256944,0.02988831,0.001396645,0.007938967,0.001941749,0.001572229,0.0009922113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503273,"about_ca_system_score_gemma":0.002179258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003321151,"about_ca_topic_score_gemma":0.006483546,"domain_scores_codex":[0.9944656,0.002926996,0.0005187229,0.0007337331,0.001192353,0.0001624626],"domain_scores_gemma":[0.958456,0.03586601,0.002358836,0.001162005,0.001816793,0.0003404065],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009291704,0.0008804746,0.1130062,0.002602612,0.001298973,0.0008255044,0.01236787,0.02367574,0.01941712,0.1618395,0.01099059,0.6521662],"study_design_scores_gemma":[0.0001102282,0.0002922655,0.0575523,0.0007052216,0.001102768,0.0007625041,0.005131536,0.5478707,0.008416861,0.341279,0.03653565,0.0002410021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3768719,0.006962447,0.5785939,0.002685486,0.0003745612,0.000745774,0.007578831,0.002465422,0.02372165],"genre_scores_gemma":[0.8318157,0.001683608,0.1594008,0.0001414442,0.0004063968,0.0006201293,0.002922942,0.0003184156,0.002690617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.993522,"threshold_uncertainty_score":0.03425932,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1993126323","doi":"10.1556/scient.67.2006.3.7","title":"Indirect patent citations","year":2006,"lang":"en","type":"article","venue":"Scientometrics","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":50,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; University of Ottawa; Statistics Canada","funders":"","keywords":"Index (typography); Quality (philosophy); Citation; Measure (data warehouse); Variable (mathematics); Citation analysis; Computer science; Information retrieval; Mathematics; Data mining; Library science; Epistemology; World Wide Web; Philosophy","authors":[{"name":"Gamal Atallah","is_ca":true},{"name":"Gabriel Rodrı́guez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2538094299036781,"gpt":0.2522532225220449,"spread":0.001556207381633257,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00489916,0.001368288,0.001326576,0.0340324,0.001824106,0.00847155,0.00143374,0.001643687,0.08113033],"category_scores_gemma":[0.05219447,0.0004365357,0.001688529,0.03143746,0.001132941,0.00394326,0.002402017,0.00149081,0.02229253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708961,"about_ca_system_score_gemma":0.002299829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001571884,"about_ca_topic_score_gemma":0.003100419,"domain_scores_codex":[0.9897274,0.002379363,0.001249013,0.001502271,0.004322702,0.0008192738],"domain_scores_gemma":[0.9575804,0.0208583,0.006096731,0.004394088,0.009688453,0.001382053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000838589,0.0007767917,0.3131465,0.00435203,0.002258611,0.0007204327,0.00123806,0.003274301,0.003922214,0.1479807,0.0982435,0.4232483],"study_design_scores_gemma":[0.0002674145,0.000597224,0.3844898,0.001165735,0.00312593,0.00426807,0.001200441,0.01274591,0.01705282,0.130964,0.4439253,0.0001973777],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2204307,0.01114334,0.03205743,0.002136099,0.002099086,0.0005910324,0.06596921,0.001505762,0.6640674],"genre_scores_gemma":[0.8085765,0.004636462,0.01003641,0.0005733662,0.002426198,0.0007745063,0.04325304,0.0003801235,0.1293433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9659676,"threshold_uncertainty_score":0.271408,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2102705305","doi":"10.1007/s11192-008-0106-3","title":"The declining scientific impact of theses: Implications for electronic thesis and dissertation repositories and graduate studies","year":2007,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"","keywords":"Library science; Altmetrics; Graduate students; Peer review; Sociology; Political science; Public relations; Computer science; Pedagogy; Law","authors":[{"name":"Vincent Larivière","is_ca":true},{"name":"Alesia Zuccala","is_ca":false},{"name":"Éric Archambault","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7238816379522245,"gpt":0.6807475618396931,"spread":0.04313407611253139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.04902755,0.0005265729,0.001575425,0.02713625,0.004923529,0.01974677,0.004903156,0.003392851,0.07932422],"category_scores_gemma":[0.3998742,0.0006873911,0.001330988,0.05458842,0.004568963,0.01643467,0.007034578,0.00414852,0.009033242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006006567,"about_ca_system_score_gemma":0.01126715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01601901,"about_ca_topic_score_gemma":0.01826031,"domain_scores_codex":[0.9602982,0.01121943,0.004175165,0.003017925,0.01890668,0.002382614],"domain_scores_gemma":[0.343989,0.3487595,0.1302826,0.03202207,0.1097451,0.03520177],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006832891,0.0008788733,0.613741,0.001371762,0.0003677701,0.0003113998,0.00652529,0.0009847886,0.0006607026,0.07266164,0.058267,0.2435464],"study_design_scores_gemma":[0.0001026534,0.0002721151,0.8827834,0.000934693,0.000207926,0.000612949,0.01353969,0.001255809,0.0009334802,0.04098076,0.05830529,0.00007120704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4986594,0.02128013,0.004985989,0.3060704,0.001491991,0.000226867,0.01710756,0.001055703,0.1491219],"genre_scores_gemma":[0.9495317,0.007617761,0.00251739,0.009743401,0.002465476,0.0001400016,0.004599278,0.0002545235,0.02313056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9728637,"threshold_uncertainty_score":0.265366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1990436954","doi":"10.1007/s11192-014-1386-4","title":"Forty years of gender disparities in Russian science: a historical bibliometric analysis","year":2014,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"National Science Foundation","keywords":"Bibliometrics; Scientometrics; Political science; Sociology; Library science; Social science; Computer science","authors":[{"name":"Adèle Paul‐Hus","is_ca":true},{"name":"Rébecca L. Bouvier","is_ca":true},{"name":"Chaoqun Ni","is_ca":false},{"name":"Cassidy R. Sugimoto","is_ca":false},{"name":"Vladimir Pislyakov","is_ca":false},{"name":"Vincent Larivière","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4898121462066615,"gpt":0.5481804217127789,"spread":0.0583682755061174,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002686113,0.0001747735,0.0003735012,0.009556131,0.001426156,0.002089683,0.0002949816,0.0005553132,0.002425501],"category_scores_gemma":[0.006133698,0.0001698282,0.0003687218,0.01424789,0.001607598,0.003461433,0.001479326,0.0007644228,0.0002957862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002321312,"about_ca_system_score_gemma":0.002508175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008396628,"about_ca_topic_score_gemma":0.009080728,"domain_scores_codex":[0.9989731,0.0002253132,0.0001552081,0.0002314906,0.0002597965,0.0001550951],"domain_scores_gemma":[0.9959965,0.001772303,0.0009055384,0.000300178,0.0008145595,0.0002110027],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003996533,0.0001465539,0.3433521,0.00237836,0.0003857654,0.001347995,0.06330414,0.00121117,0.002245769,0.1858331,0.008655041,0.3907405],"study_design_scores_gemma":[0.000005551734,0.0001548937,0.7845485,0.0009872203,0.0001758067,0.0008841545,0.01804732,0.0003979467,0.001061882,0.01155731,0.182133,0.000046405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8658577,0.08282261,0.00100808,0.005287223,0.0004120522,0.00002690374,0.001839645,0.00002969023,0.04271615],"genre_scores_gemma":[0.9723808,0.0240445,0.000364698,0.0002204066,0.0002809895,0.00001162775,0.000526534,0.00001227872,0.00215805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9973139,"threshold_uncertainty_score":0.01684242,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2775516587","doi":"10.1007/s11192-017-2593-6","title":"Assessing the effect of the United States’ “citation advantage” on other countries’ scientific impact as measured in the Web of Science (WoS) database","year":2017,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Citation; Web of science; Relation (database); Citation database; Visibility; Citation analysis; Computer science; Database; Citation impact; Data science; Political science; Regional science; Library science; Scopus; Sociology; Geography; Law; MEDLINE","authors":[{"name":"Yves Gingras","is_ca":true},{"name":"Mahdi Khelfaoui","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4570312116954996,"gpt":0.6150197274678524,"spread":0.1579885157723528,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0102936,0.0004351253,0.0007127193,0.004102619,0.0005755539,0.002546663,0.0006152241,0.0008705591,0.003602816],"category_scores_gemma":[0.04730299,0.0001389672,0.002144982,0.008047278,0.0007365591,0.001688754,0.001646462,0.001231927,0.000525544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006636666,"about_ca_system_score_gemma":0.001398793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01819091,"about_ca_topic_score_gemma":0.01665181,"domain_scores_codex":[0.9922726,0.004403754,0.0006866388,0.0009808136,0.001075246,0.0005809217],"domain_scores_gemma":[0.8907237,0.08838495,0.01068041,0.00246423,0.004380707,0.003366065],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001221798,0.0002538918,0.9843428,0.000116438,0.002781407,0.0001255114,0.00016471,0.001036027,0.0003999266,0.0005432073,0.001081869,0.007932304],"study_design_scores_gemma":[0.0000668288,0.0005213202,0.9937543,0.00002208982,0.001631344,0.00007328267,0.0004507558,0.00145987,0.0005773249,0.0002281774,0.001197561,0.00001714866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931578,0.0006553177,0.0002113435,0.0005834924,0.00006495224,0.000009748305,0.001883586,0.00002268411,0.003411],"genre_scores_gemma":[0.9982218,0.0001221051,0.0001490079,0.00006141613,0.00004788972,0.000007052627,0.001102164,0.000006105007,0.0002825514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9958974,"threshold_uncertainty_score":0.05443841,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2140162241","doi":"10.1007/s11192-011-0589-1","title":"Author disambiguation using multi-aspect similarity indicators","year":2011,"lang":"en","type":"article","venue":"Scientometrics","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Genome Canada","keywords":"Similarity (geometry); Recall; Precision and recall; Computer science; Task (project management); Measure (data warehouse); Information retrieval; Key (lock); Data mining; Artificial intelligence; Natural language processing; Psychology; Cognitive psychology","authors":[{"name":"Thomas Gurney","is_ca":false},{"name":"Edwin Horlings","is_ca":false},{"name":"Peter van den Besselaar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2003679371428773,"gpt":0.3850923397812263,"spread":0.184724402638349,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005651432,0.001126165,0.001781081,0.03812621,0.001358693,0.004927465,0.00117234,0.001235099,0.001667442],"category_scores_gemma":[0.03794294,0.0004295238,0.001262913,0.03263921,0.0005896902,0.005424206,0.002900815,0.0008909502,0.001942701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008656283,"about_ca_system_score_gemma":0.001597671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413587,"about_ca_topic_score_gemma":0.002407833,"domain_scores_codex":[0.992231,0.00157676,0.001420012,0.001421369,0.003004369,0.0003465647],"domain_scores_gemma":[0.9783392,0.009682412,0.00400272,0.002717776,0.004802476,0.0004554081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000495093,0.0002854789,0.0906014,0.0007629356,0.0004001658,0.000327042,0.00116408,0.01482471,0.0146224,0.009140316,0.006980726,0.8603957],"study_design_scores_gemma":[0.0002004005,0.000609591,0.1461958,0.0003395592,0.0005456387,0.002460873,0.002356302,0.6328462,0.09661568,0.06769492,0.04969924,0.000435803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2593812,0.00233163,0.7141699,0.0005065639,0.0002674919,0.0005225941,0.004313432,0.009008055,0.009499171],"genre_scores_gemma":[0.5136863,0.0007228502,0.477934,0.00004493327,0.0001825694,0.0002801011,0.005025863,0.0004256105,0.001697849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9618738,"threshold_uncertainty_score":0.02988797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2035191842","doi":"10.1007/s11192-006-0133-x","title":"Comparing business competition positions based on Web co-link data: The global market vs. the Chinese market","year":2006,"lang":"en","type":"article","venue":"Scientometrics","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Multidimensional scaling; Competition (biology); Similarity (geometry); Business; Competitive advantage; Link (geometry); Web site; Market share; Industrial organization; Marketing; Computer science; The Internet; World Wide Web","authors":[{"name":"Liwen Vaughan","is_ca":true},{"name":"Justin You","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0310848158395885,"gpt":0.2980595454444924,"spread":0.2669747296049039,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002845887,0.0004084997,0.0006038938,0.01438409,0.0005721467,0.002233872,0.0005976175,0.0005451771,0.004161448],"category_scores_gemma":[0.01177692,0.0001138932,0.0006420409,0.02007261,0.0008174474,0.002643445,0.001333664,0.0004829123,0.0009134454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009147906,"about_ca_system_score_gemma":0.0007746706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01722314,"about_ca_topic_score_gemma":0.02297175,"domain_scores_codex":[0.9982145,0.0004575568,0.0001269153,0.0001809102,0.0007549551,0.0002651522],"domain_scores_gemma":[0.9885564,0.006430769,0.001851025,0.0007056675,0.001778235,0.0006778841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001025381,0.0001783657,0.914834,0.0003205382,0.0007627226,0.0003080705,0.001310527,0.004531789,0.00273259,0.006564182,0.003555563,0.06387617],"study_design_scores_gemma":[0.00004008562,0.0001839089,0.9697239,0.00003484715,0.0003520792,0.0001386681,0.002461036,0.01977364,0.001918467,0.001892065,0.003432771,0.00004864015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879789,0.0004261237,0.000763682,0.0001418829,0.00002343283,0.00001561868,0.002123548,0.00002332975,0.008503444],"genre_scores_gemma":[0.9977976,0.00009560164,0.0001863121,0.00001169666,0.00002360746,0.00000743783,0.001481267,0.000006797897,0.0003897258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9856159,"threshold_uncertainty_score":0.03424579,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2098507569","doi":"10.1007/s11192-015-1788-y","title":"Bibliometric analysis of output and impact based on CRIS data: a case study on the registered output of a Dutch university","year":2015,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Bibliometrics; Regional science; Sociology; Operations research; Computer science; Econometrics; Data science; Library science; Economics; Engineering","authors":[{"name":"Thed N. van Leeuwen","is_ca":false},{"name":"Erik van Wijk","is_ca":false},{"name":"Paul Wouters","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8230981755742243,"gpt":0.5877561517828117,"spread":0.2353420237914126,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00873641,0.0004254139,0.0009773001,0.02134318,0.0007227737,0.004412413,0.000918058,0.0006834265,0.002687627],"category_scores_gemma":[0.04276035,0.0001876827,0.0007615043,0.06786996,0.0008301329,0.003341309,0.001892854,0.0005510487,0.0005787307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003247701,"about_ca_system_score_gemma":0.001977741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01992081,"about_ca_topic_score_gemma":0.0163255,"domain_scores_codex":[0.9852632,0.005000762,0.001614602,0.0009028998,0.006676625,0.0005418903],"domain_scores_gemma":[0.965063,0.0222351,0.005109376,0.001621893,0.005585371,0.0003852186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004188636,0.0004705378,0.7297184,0.002643855,0.0006601521,0.003826359,0.01922457,0.01810208,0.004078347,0.01756143,0.004718945,0.1985766],"study_design_scores_gemma":[0.00003210088,0.0002832786,0.8820041,0.0004231772,0.0003633611,0.001284508,0.02766808,0.0315884,0.005824989,0.003734006,0.04665732,0.0001366278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633628,0.0008996392,0.004934957,0.0003815977,0.00002262372,0.0001133403,0.00588333,0.00009075563,0.02431084],"genre_scores_gemma":[0.9854891,0.0007632871,0.004755377,0.00001694377,0.00003396857,0.00008998446,0.006872424,0.0000684058,0.001910559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9786568,"threshold_uncertainty_score":0.04620314,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2109757953","doi":"10.1007/s11192-011-0515-6","title":"Exploring the web visibility of world-class universities","year":2011,"lang":"en","type":"article","venue":"Scientometrics","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of British Columbia","keywords":"Visibility; Proxy (statistics); The Internet; Computer science; World Wide Web; Test (biology); Corporate governance; Information retrieval; Geography; Business","authors":[{"name":"Moosung Lee","is_ca":false},{"name":"Han Woo Park","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2267615598288774,"gpt":0.2801388686842395,"spread":0.05337730885536215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001879054,0.0001427301,0.0002872851,0.008519854,0.0007453539,0.005215688,0.0003999262,0.000416328,0.002464908],"category_scores_gemma":[0.02863693,0.0001241767,0.0003264678,0.0121667,0.00065473,0.004989724,0.002084052,0.0005285464,0.0002520932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000742255,"about_ca_system_score_gemma":0.0007449708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007040475,"about_ca_topic_score_gemma":0.008834114,"domain_scores_codex":[0.9987576,0.0003447874,0.00007107977,0.0001343474,0.0004699643,0.0002222138],"domain_scores_gemma":[0.9724761,0.01656942,0.005892889,0.001181606,0.002300548,0.001579462],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00027483,0.0001551185,0.8860245,0.0001613931,0.0002279827,0.000196127,0.006456836,0.002127129,0.00171124,0.03018499,0.001545046,0.07093489],"study_design_scores_gemma":[0.00001242249,0.00008643382,0.9425433,0.00007812212,0.0001201053,0.0002198864,0.009968374,0.01213235,0.001703496,0.02296073,0.01014738,0.00002745281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868335,0.0004838136,0.001284916,0.0002527821,0.000007583322,0.000003930249,0.0003191688,0.00001830041,0.01079607],"genre_scores_gemma":[0.9993212,0.0001057714,0.000148687,0.000006214386,0.00001515259,8.552317e-7,0.0001370922,0.000004715992,0.0002602584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.998121,"threshold_uncertainty_score":0.01399899,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W1993018298","doi":"10.1007/s11192-008-2064-1","title":"The relationship between reviewers’ quality-scores and number of citations for papers published in the journal Physics in Medicine and Biology from 2003–2005","year":2009,"lang":"en","type":"article","venue":"Scientometrics","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; Juravinski Cancer Centre","funders":"","keywords":"Impact factor; Citation; Quality (philosophy); Statistics; Mathematics; Medicine; Psychology; Computer science; Library science; Biology; Philosophy; Epistemology","authors":[{"name":"Michael S. Patterson","is_ca":true},{"name":"Simon Harris","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8825900474161539,"gpt":0.626060316233719,"spread":0.2565297311824348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.1610005,0.0013927,0.006359613,0.05659248,0.001993659,0.008538285,0.003630602,0.005291708,0.001764466],"category_scores_gemma":[0.5586704,0.001558675,0.01481374,0.05138654,0.001599448,0.005095147,0.004069384,0.002626128,0.0004720391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006158826,"about_ca_system_score_gemma":0.01413664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02335924,"about_ca_topic_score_gemma":0.03380501,"domain_scores_codex":[0.8185771,0.05973851,0.07015588,0.01235373,0.03633952,0.002835185],"domain_scores_gemma":[0.2091523,0.4574013,0.180745,0.01477783,0.1298268,0.008096987],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003110672,0.00007259761,0.8535087,0.02047231,0.07917909,0.0003109056,0.001925234,0.001047478,0.0004556703,0.0003124354,0.009097231,0.0305076],"study_design_scores_gemma":[0.001015071,0.0006772874,0.9304088,0.004819355,0.04846579,0.001548392,0.0007498708,0.001550844,0.0006118706,0.001064438,0.008771971,0.0003163535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.399431,0.5517794,0.003464103,0.01114349,0.004313682,0.0003650489,0.02546765,0.000327514,0.003708063],"genre_scores_gemma":[0.9554112,0.02923501,0.002727238,0.001053895,0.002140257,0.0003287589,0.007644003,0.000141885,0.001317669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9434075,"threshold_uncertainty_score":0.8514624,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979812464","doi":"10.1007/s11192-010-0249-x","title":"Mathematics 1868–2008: a bibliometric analysis","year":2010,"lang":"en","type":"article","venue":"Scientometrics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Productivity; Distribution (mathematics); Range (aeronautics); Mathematics; Bibliometrics; Quarter (Canadian coin); Statistics; Mathematical economics; Econometrics; History; Library science; Economics; Computer science; Economic growth","authors":[{"name":"H. Behrens","is_ca":false},{"name":"Peter Luksch","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04005720797298853,"gpt":0.2584068437551288,"spread":0.2183496357821403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001785369,0.0004237159,0.0006093987,0.02815716,0.0008615514,0.002281948,0.0004840742,0.0004325568,0.007663749],"category_scores_gemma":[0.01411727,0.0001540948,0.000623026,0.03077305,0.0007711822,0.001996608,0.00114936,0.0005857144,0.003354968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003501497,"about_ca_system_score_gemma":0.002291742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01331066,"about_ca_topic_score_gemma":0.01072984,"domain_scores_codex":[0.9979656,0.0002762143,0.0002153688,0.0002630259,0.001123309,0.0001565702],"domain_scores_gemma":[0.9943689,0.001113399,0.001095214,0.0005334694,0.002604898,0.0002842202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003340321,0.0002002448,0.1392121,0.001173813,0.0005981104,0.0004561487,0.001196815,0.01653124,0.001715522,0.1519813,0.1409065,0.5456942],"study_design_scores_gemma":[0.00002643954,0.0001312715,0.3970782,0.000254533,0.0002470882,0.0007746783,0.0004472664,0.007986407,0.002843701,0.02274952,0.5674021,0.00005874052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5533321,0.03649681,0.02583567,0.01281863,0.001793483,0.0003252887,0.06349467,0.000676507,0.3052267],"genre_scores_gemma":[0.898928,0.01578449,0.009388638,0.0003312221,0.002804983,0.0001410726,0.01978533,0.0001314458,0.05270481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9718428,"threshold_uncertainty_score":0.02646637,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W1724869758","doi":"10.1023/a:1014256102041","title":"Collaboration and Cognitive Structures in Social Science Research Fields. Towards Socio-Cognitive Analysis in Information Systems","year":2001,"lang":"en","type":"article","venue":"Scientometrics","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Mainstream; Consolidation (business); Cognition; Field (mathematics); Sociology; Value (mathematics); Social network analysis; Knowledge management; Epistemology; Social science; Computer science; Psychology; Political science; Business; Social capital","authors":[{"name":"Peter Mutschke","is_ca":false},{"name":"Anabel Quan‐Haase","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09573227246461083,"gpt":0.4494395081219599,"spread":0.3537072356573491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01195159,0.0005269542,0.0007962289,0.01013878,0.00329044,0.00917778,0.0009541592,0.002071455,0.003646462],"category_scores_gemma":[0.06349547,0.0005855,0.0007544075,0.01119718,0.0114979,0.01934055,0.006151668,0.002026302,0.0003717331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003020759,"about_ca_system_score_gemma":0.003475681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003352078,"about_ca_topic_score_gemma":0.004166086,"domain_scores_codex":[0.9900663,0.00653338,0.0006136217,0.0006243625,0.001760513,0.000401924],"domain_scores_gemma":[0.9321601,0.05486936,0.005296889,0.003100387,0.002863632,0.001709607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001363759,0.0001917034,0.02650654,0.001547692,0.0002145891,0.0001743704,0.02817259,0.002840206,0.001530862,0.7880681,0.004199477,0.1464175],"study_design_scores_gemma":[0.00002776251,0.00003865236,0.02200663,0.0003045903,0.00006027292,0.0001751858,0.0103417,0.005996541,0.0004600984,0.9510972,0.00945729,0.00003404971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4703957,0.06777177,0.3203201,0.03666871,0.000800561,0.0003652783,0.0009361448,0.000383288,0.1023585],"genre_scores_gemma":[0.9748512,0.004132385,0.01933461,0.0002602053,0.0003168171,0.0001556315,0.0001357684,0.00002075399,0.0007927338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9898612,"threshold_uncertainty_score":0.06320685,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W4220877524","doi":"10.1007/s11192-022-04338-1","title":"Interdisciplinarity and impact: the effects of the citation time window","year":2022,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"National Planning Office of Philosophy and Social Science","keywords":"Citation; Impact factor; Window (computing); Citation analysis; Scientometrics; Computer science; Bibliometrics; Data science; Citation impact; Statistics; Data mining; Mathematics; Library science; Political science; World Wide Web; Law","authors":[{"name":"Shiji Chen","is_ca":false},{"name":"Yanhui Song","is_ca":false},{"name":"Fei Shu","is_ca":false},{"name":"Vincent Larivière","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2744588650714582,"gpt":0.5399536004006232,"spread":0.265494735329165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01246799,0.0005266191,0.001440115,0.003600839,0.001013652,0.00778082,0.001054301,0.00185701,0.01006949],"category_scores_gemma":[0.1364432,0.0003621092,0.000953544,0.008150267,0.001147951,0.009881978,0.00260634,0.002552496,0.001161608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006388653,"about_ca_system_score_gemma":0.001569374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002678023,"about_ca_topic_score_gemma":0.001426982,"domain_scores_codex":[0.9969747,0.001035009,0.0002817393,0.0005855132,0.000721801,0.0004012255],"domain_scores_gemma":[0.7951998,0.1754132,0.01315778,0.005458707,0.00423201,0.006538502],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009082827,0.001856961,0.5664625,0.0012284,0.002534582,0.001829209,0.004556459,0.03356907,0.0139768,0.137618,0.008517084,0.2187681],"study_design_scores_gemma":[0.0004522813,0.0008998658,0.7614185,0.0003013508,0.002317759,0.0005982358,0.003050809,0.04186413,0.004557861,0.174385,0.009971966,0.0001822269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466233,0.009711983,0.01006535,0.004285763,0.0005085387,0.00005644378,0.0009975221,0.0002716131,0.0274795],"genre_scores_gemma":[0.9956802,0.001230501,0.0005579129,0.00009557352,0.0002907111,0.00001611945,0.000200868,0.00008252667,0.00184558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9963992,"threshold_uncertainty_score":0.06593788,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["metaresearch","bibliometrics"],"domain":"evaluation","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W2900764028","doi":"10.1007/s11192-018-2959-4","title":"Capturing the economic value of triadic patents","year":2018,"lang":"en","type":"article","venue":"Scientometrics","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":42,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Value (mathematics); Patent analysis; Cover (algebra); Test (biology); European patent office; Patent application; Business; Computer science; Regional science; International trade; Data science; Political science; Sociology; Engineering; Law; Machine learning","authors":[{"name":"Leila Tahmooresnejad","is_ca":true},{"name":"Catherine Beaudry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.177109436578545,"gpt":0.2610980654164781,"spread":0.08398862883793304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003286641,0.0005515064,0.00100847,0.01869934,0.0009628563,0.006068792,0.001015289,0.001250223,0.006101273],"category_scores_gemma":[0.04273304,0.0001683025,0.0005940022,0.03367323,0.001107949,0.008120222,0.002123713,0.001233893,0.001546666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711711,"about_ca_system_score_gemma":0.001467173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003362383,"about_ca_topic_score_gemma":0.004088109,"domain_scores_codex":[0.9970522,0.0009463429,0.0001840919,0.0004031246,0.001121577,0.0002926789],"domain_scores_gemma":[0.9709764,0.01778681,0.004383617,0.002967216,0.002621228,0.001264662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005986696,0.0005308695,0.2738397,0.0006746607,0.0005741574,0.0009315656,0.0008950477,0.05383338,0.007256602,0.2979367,0.01416682,0.3487618],"study_design_scores_gemma":[0.00006836235,0.0002946349,0.2127849,0.0002197265,0.0003132856,0.0008913292,0.002162962,0.2906534,0.004825473,0.4575128,0.03013733,0.0001358112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8810865,0.003673387,0.054157,0.002018965,0.0002741336,0.00008712491,0.004075849,0.0004102669,0.05421674],"genre_scores_gemma":[0.9912508,0.0007941114,0.005095562,0.00004557072,0.000229503,0.00002608017,0.00116139,0.00003130683,0.001365716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9813007,"threshold_uncertainty_score":0.02041084,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}