{"meta":{"query_hash":"59a86b44743f","filters":{"venue":"Frontiers in Research Metrics and Analytics"},"cohort_total":20,"direct_labels_cover":1,"predictions_cover":20,"exported":20,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/59a86b44743f","api":"https://metacan.xera.ac/api/v1/cohort?venue=Frontiers+in+Research+Metrics+and+Analytics"},"results":[{"id":"W2936715908","doi":"10.3389/frma.2019.00002","title":"Editorial: Mining Scientific Papers: NLP-enhanced Bibliometrics","year":2019,"lang":"en","type":"editorial","venue":"Frontiers in Research Metrics and Analytics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Deutscher Akademischer Austauschdienst; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Bibliometrics; Library science; Front (military); Geography; Data science; History; Computer science","score_opus":0.07409031425835062,"score_gpt":0.4044010460789305,"score_spread":0.3303107318205799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936715908","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000044870772,0.0028924856,0.00023668128,0.03484983,0.96052724,0.000040671664,0.00017904358,0.00008940503,0.0011397353],"genre_scores_gemma":[0.00042127367,0.0019858724,0.00021317495,0.010995561,0.9795212,0.000046039444,0.00009737093,0.000073582334,0.0066458825],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9887532,0.0020642385,0.0015871624,0.0013316887,0.00576143,0.0005022509],"domain_scores_gemma":[0.9367782,0.028008513,0.0039014386,0.00115088,0.023118,0.0070430124],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.015341084,0.0042908047,0.005081235,0.011947558,0.0042492934,0.015058923,0.0039069196,0.01527939,0.021441394],"category_scores_gemma":[0.060876004,0.0015145954,0.003928027,0.0039333478,0.0030916638,0.0056962925,0.0028230061,0.015997846,0.015341833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047610538,0.000013298333,0.00002687616,0.00021042123,0.000034467932,0.000083174134,0.000009084187,0.000025282197,0.0000611784,0.0001583666,0.99631715,0.0030132039],"study_design_scores_gemma":[0.0002502267,0.000049445032,0.00064341695,0.001049377,0.00019415014,0.00042544605,0.00006432467,0.00059487787,0.0003028858,0.0032564597,0.99311745,0.000051926636],"about_ca_topic_score_codex":0.0015061679,"about_ca_topic_score_gemma":0.004638265,"teacher_disagreement_score":0.9880524,"about_ca_system_score_codex":0.0033872263,"about_ca_system_score_gemma":0.0042616734,"threshold_uncertainty_score":0.08113241},"labels":[],"label_agreement":null},{"id":"W3106155822","doi":"10.3389/frma.2020.595370","title":"Intellectual Structure of Coronavirus Research: A Perspective From an Author Cocitation Analysis","year":2020,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Manitoba","funders":"","keywords":"Outbreak; Coronavirus; Identification (biology); Public health; Perspective (graphical); Transmission (telecommunications); Bibliometrics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Geography; Medicine; Virology; Disease; Biology; Library science; Infectious disease (medical specialty); Computer science; Ecology; Pathology","score_opus":0.8795814717877448,"score_gpt":0.6823888219904412,"score_spread":0.19719264979730367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106155822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7625119,0.03797553,0.05732477,0.027215162,0.00070467393,0.00045526732,0.00809915,0.0005063282,0.105207175],"genre_scores_gemma":[0.9894744,0.0020990316,0.0058730817,0.00019657824,0.0003946687,0.00011569218,0.001194741,0.00005666493,0.0005951372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9493012,0.021130148,0.0060707685,0.0042640315,0.01642363,0.00281025],"domain_scores_gemma":[0.62237567,0.29102394,0.039111275,0.012768244,0.029226752,0.005494108],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.038446356,0.0006052652,0.0019007057,0.10613271,0.0043146634,0.021785287,0.0018077485,0.0011559554,0.0047333287],"category_scores_gemma":[0.20641743,0.0003512391,0.001306529,0.15703548,0.0080709085,0.012944029,0.0074447566,0.0012981137,0.000554263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042440605,0.00015025058,0.5168284,0.0030129373,0.0015117151,0.00081568264,0.047392983,0.0032280043,0.0012948964,0.20356584,0.009486604,0.21228832],"study_design_scores_gemma":[0.000118550684,0.0003424135,0.5406873,0.002506772,0.00082205224,0.0014610958,0.074912086,0.018028356,0.0022037064,0.28451815,0.07413508,0.00026442256],"about_ca_topic_score_codex":0.0074102813,"about_ca_topic_score_gemma":0.0057142754,"teacher_disagreement_score":0.96155363,"about_ca_system_score_codex":0.008597101,"about_ca_system_score_gemma":0.008151756,"threshold_uncertainty_score":0.20332617},"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":"W3135357749","doi":"10.3389/frma.2021.614013","title":"Epistemic Corruption, the Pharmaceutical Industry, and the Body of Medical Science","year":2021,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Language change; Legitimacy; Pharmaceutical industry; Odds; Epistemic community; Medical science; Conflict of interest; Business; Political science; Public relations; Law and economics; Sociology; Epistemology; Law; Computer science; Politics; Medicine; Philosophy","score_opus":0.645219386561901,"score_gpt":0.645412796935346,"score_spread":0.00019341037344500212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135357749","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06956698,0.02043974,0.1115921,0.33207068,0.002516994,0.00017246745,0.00021838721,0.00025091617,0.46317157],"genre_scores_gemma":[0.96955866,0.0035025747,0.0073243263,0.010635892,0.0011870678,0.000103650855,0.000060242084,0.000075762764,0.0075519015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.91945285,0.049845535,0.0033405463,0.0050615617,0.019205676,0.0030938052],"domain_scores_gemma":[0.7947126,0.13990663,0.028138632,0.017386299,0.012532067,0.007323734],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.048766278,0.00050688855,0.0007933911,0.003906079,0.0070596393,0.020435292,0.0013352901,0.005761205,0.0063041165],"category_scores_gemma":[0.111349925,0.00049933937,0.00058810436,0.0035559086,0.060311057,0.016805474,0.0130385,0.008977747,0.0010116878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036166464,0.000021000524,0.0021327403,0.000119526405,0.000030246407,0.00010553984,0.00455141,0.00024097401,0.00014522526,0.97711235,0.0038374204,0.01166741],"study_design_scores_gemma":[0.000021418819,0.000037368227,0.0025780685,0.00048182916,0.000023320032,0.00021367353,0.0029965756,0.00068336254,0.00043889022,0.9278853,0.06459692,0.000043256223],"about_ca_topic_score_codex":0.0025757267,"about_ca_topic_score_gemma":0.0017928752,"teacher_disagreement_score":0.9942388,"about_ca_system_score_codex":0.009232668,"about_ca_system_score_gemma":0.0131558385,"threshold_uncertainty_score":0.25790375},"labels":[],"label_agreement":null},{"id":"W3136394449","doi":"10.3389/frma.2021.655350","title":"What Constitutes Authorship in the Social Sciences?","year":2021,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Citation; Globe; Promotion (chess); Task (project management); Sociology; Public relations; Social science; Data science; Political science; Computer science; Psychology; Library science; Law","score_opus":0.8782653950798424,"score_gpt":0.6831072878673955,"score_spread":0.19515810721244686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136394449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46125427,0.020150002,0.10994012,0.1244126,0.0033149673,0.0004742007,0.0009359132,0.00044955115,0.2790684],"genre_scores_gemma":[0.98644954,0.0017256029,0.007753603,0.0010480095,0.00058351655,0.00012772629,0.00012892993,0.00005825032,0.0021248094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.90180653,0.06618116,0.006965125,0.0049068253,0.01726384,0.0028765302],"domain_scores_gemma":[0.5803417,0.31268656,0.037482843,0.023494367,0.033431064,0.01256348],"candidate_categories":["metaresearch","bibliometrics","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.051486235,0.0005765705,0.001531288,0.012809462,0.007481866,0.020927073,0.0014814184,0.0030850293,0.0070947353],"category_scores_gemma":[0.27590355,0.00043318074,0.0007522632,0.022226853,0.016866906,0.02173336,0.006819258,0.002023736,0.001487213],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021402363,0.00018428615,0.19203934,0.0013270559,0.00018775204,0.00041754238,0.049498707,0.00097110355,0.00055727,0.4960135,0.009820333,0.24876907],"study_design_scores_gemma":[0.000041528383,0.00009901645,0.05636888,0.0012546114,0.0000733622,0.00059722026,0.037817523,0.0024152086,0.00058503036,0.8556455,0.044999465,0.00010268331],"about_ca_topic_score_codex":0.0030823292,"about_ca_topic_score_gemma":0.0035337096,"teacher_disagreement_score":0.996915,"about_ca_system_score_codex":0.006073433,"about_ca_system_score_gemma":0.008225596,"threshold_uncertainty_score":0.2722885},"labels":[],"label_agreement":null},{"id":"W3157597133","doi":"10.3389/frma.2021.690986","title":"Editorial: Research Collaboration and Networks: Characteristics, Evolution and Trends","year":2021,"lang":"en","type":"editorial","venue":"Frontiers in Research Metrics and Analytics","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Front (military); Political science; Sociology; Regional science; Geography","score_opus":0.047902783401363606,"score_gpt":0.41424913087478954,"score_spread":0.3663463474734259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157597133","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000033869503,0.0015461205,0.000114874136,0.017984837,0.97913593,0.000020956635,0.000096747746,0.00006340602,0.0010033596],"genre_scores_gemma":[0.00041298618,0.0019639004,0.00012145325,0.0074918084,0.981662,0.00002615737,0.000063189764,0.000043502438,0.008215071],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941355,0.00082422805,0.00070104696,0.00078580464,0.0031467155,0.00040674757],"domain_scores_gemma":[0.9699379,0.010279189,0.0019106941,0.00082962896,0.012752778,0.004289726],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009249581,0.0049487464,0.004922062,0.0065485523,0.0037396902,0.009870927,0.003789621,0.012704494,0.03199615],"category_scores_gemma":[0.03671634,0.001231034,0.0030179305,0.0025242309,0.0022736997,0.005057205,0.0019117839,0.0122218365,0.021923682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037313283,0.000009657063,0.00002663615,0.00013309556,0.000012923403,0.000059268375,0.000007130382,0.000025957708,0.000035252953,0.00016911562,0.99598557,0.0034981486],"study_design_scores_gemma":[0.00009983877,0.00004140636,0.00044305323,0.00062790833,0.00006715476,0.00030719122,0.00006503812,0.0003450798,0.00016129605,0.0017269079,0.9960836,0.000031452088],"about_ca_topic_score_codex":0.0012404692,"about_ca_topic_score_gemma":0.0040181973,"teacher_disagreement_score":0.9934515,"about_ca_system_score_codex":0.0029078352,"about_ca_system_score_gemma":0.003211947,"threshold_uncertainty_score":0.10703784},"labels":[],"label_agreement":null},{"id":"W3164016997","doi":"10.3389/frma.2021.683212","title":"Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics","year":2021,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Australian Research Council; University of Technology Sydney; University of Sydney","keywords":"Pandemic; Bibliometrics; Public health; Biology; Human genetics; Disease; Political science; Evolutionary biology; Genetics; Coronavirus disease 2019 (COVID-19); Gene; Infectious disease (medical specialty); Medicine; Library science; Computer science","score_opus":0.609732203422397,"score_gpt":0.55750781381103,"score_spread":0.052224389611366995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164016997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87631154,0.011865558,0.012365753,0.004454306,0.00024533298,0.000518954,0.077694625,0.0008406971,0.015703235],"genre_scores_gemma":[0.926768,0.0042495523,0.017629828,0.0002323539,0.0003230272,0.00042160615,0.048909303,0.00008275082,0.0013835487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99062425,0.0026213867,0.0017869902,0.0011522161,0.0033626128,0.0004525522],"domain_scores_gemma":[0.95050436,0.032048546,0.008032211,0.0021681353,0.0058983993,0.0013483105],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0065749674,0.00058127,0.0012342733,0.076750845,0.0012231715,0.005421014,0.00075590395,0.0009604151,0.0017784237],"category_scores_gemma":[0.04253144,0.00018590571,0.001233815,0.10594012,0.0006724239,0.0027851306,0.0019456057,0.0005243514,0.00072664156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027777403,0.00036193547,0.77202564,0.00360212,0.0013695955,0.0010682703,0.0023683181,0.0051893764,0.0025172539,0.010879209,0.018857121,0.18148339],"study_design_scores_gemma":[0.000100447156,0.00028694747,0.8418031,0.00089330226,0.0009777409,0.0013538465,0.0073397947,0.049037505,0.0027045328,0.015856836,0.079481415,0.00016467026],"about_ca_topic_score_codex":0.0069758547,"about_ca_topic_score_gemma":0.008125984,"teacher_disagreement_score":0.993425,"about_ca_system_score_codex":0.0022616251,"about_ca_system_score_gemma":0.003012187,"threshold_uncertainty_score":0.034772217},"labels":[],"label_agreement":null},{"id":"W3176517334","doi":"10.3389/frma.2021.691247","title":"Research and Technology Organizations as Super Intermediaries: A Conceptual Framework for Policy and a Case Study From Tanzania","year":2021,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department for International Development; National Research Foundation; International Development Research Centre","keywords":"Tanzania; Conceptual framework; Intermediary; Industrial policy; Government (linguistics); Business; Technology policy; Process management; Industrial organization; Economics; Engineering; Economic growth; Marketing; Sociology","score_opus":0.12294350028976259,"score_gpt":0.42230714660779795,"score_spread":0.29936364631803536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176517334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6482632,0.008975591,0.04272827,0.11219499,0.00016903898,0.0015796707,0.00036992197,0.0000744554,0.18564494],"genre_scores_gemma":[0.981724,0.0017313869,0.009342845,0.0014704001,0.0000190611,0.0006954182,0.000047499867,0.000012116598,0.004957298],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9928135,0.005432384,0.0002370577,0.0003304291,0.00030691444,0.00087977893],"domain_scores_gemma":[0.99154156,0.0061842017,0.00095563027,0.0002667444,0.00040848364,0.00064340944],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009281859,0.00043170474,0.00029338262,0.0036568919,0.01110027,0.010490135,0.0014090684,0.004343386,0.0046009687],"category_scores_gemma":[0.007377315,0.00054419955,0.00027677626,0.004986477,0.016444158,0.011041273,0.0073066163,0.0030876629,0.00035315249],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021463064,0.00007300466,0.0039304364,0.00023487194,0.000002988815,0.0020459392,0.14047235,0.00095867546,0.0004367041,0.8415811,0.0015319972,0.008710321],"study_design_scores_gemma":[0.000036274512,0.00014260881,0.0052149585,0.001834184,0.000023897348,0.0012236737,0.71246064,0.003915057,0.0005051393,0.122405104,0.15219629,0.000042190957],"about_ca_topic_score_codex":0.020563845,"about_ca_topic_score_gemma":0.023447214,"teacher_disagreement_score":0.9907181,"about_ca_system_score_codex":0.019974738,"about_ca_system_score_gemma":0.018396761,"threshold_uncertainty_score":0.14492756},"labels":[],"label_agreement":null},{"id":"W4223419753","doi":"10.3389/frma.2022.814600","title":"Perspectives on Gender in Science, Technology, and Innovation: A Review of Sub-Saharan Africa's Science Granting Councils and Achieving the Sustainable Development Goals","year":2022,"lang":"en","type":"review","venue":"Frontiers in Research Metrics and Analytics","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; National Commission for Science and Technology; National Science and Technology Council; Ministry of Environment; National Research Foundation; International Development Research Centre; Fonds National de la Recherche Luxembourg; Universiteit Stellenbosch; Department for International Development, UK Government; Tanzania Commission for Science and Technology; Michigan State University","keywords":"Gender mainstreaming; Economic growth; Sustainable development; Political science; Inequality; Gender equality; Curriculum; Sociology; Economics; Gender studies","score_opus":0.2914221289625409,"score_gpt":0.44348174371312543,"score_spread":0.15205961475058455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223419753","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028554775,0.9940507,0.000052070784,0.0041656294,0.0004978685,0.0000022680185,0.000005762949,9.77434e-7,0.0009391572],"genre_scores_gemma":[0.0048035616,0.99310255,0.00009368599,0.0013488826,0.00044328024,0.000006878176,0.000007155248,0.0000022373247,0.00019175034],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99514127,0.0024420507,0.00060060463,0.00033982997,0.0010636107,0.00041260236],"domain_scores_gemma":[0.9821015,0.01420907,0.0015666629,0.00011834862,0.0015354909,0.00046889772],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008486278,0.00081018923,0.0011013121,0.007152833,0.0023940303,0.0056227366,0.00095303764,0.0028662088,0.0024313985],"category_scores_gemma":[0.010166337,0.00046114624,0.0006500042,0.014486081,0.005551225,0.006483986,0.0023582166,0.0033946487,0.00033285614],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009998945,0.00008943803,0.0021251133,0.06362558,0.00014750153,0.00142059,0.027475398,0.0005361232,0.0007823113,0.16183107,0.0634926,0.67837423],"study_design_scores_gemma":[0.0000061317496,0.000040772644,0.0028939487,0.03816523,0.000056531248,0.0006309546,0.00870479,0.0000434454,0.00012853202,0.0084028365,0.9409005,0.000026277541],"about_ca_topic_score_codex":0.009887699,"about_ca_topic_score_gemma":0.015842455,"teacher_disagreement_score":0.9915137,"about_ca_system_score_codex":0.00463211,"about_ca_system_score_gemma":0.015390135,"threshold_uncertainty_score":0.04488033},"labels":[],"label_agreement":null},{"id":"W4280505042","doi":"10.3389/frma.2022.881250","title":"Research Products Beyond the Research Paper: Reflections on User-Centered Evidence Synthesis From SeroTracker","year":2022,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"Canadian Medical Association; Public Health Agency of Canada; World Health Organization","keywords":"Front (military); Sociology; Political science; Public relations; Media studies; Social science; Geography","score_opus":0.23555020554601322,"score_gpt":0.4708973289550241,"score_spread":0.2353471234090109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280505042","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":"methods","domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011563832,0.03797778,0.017116813,0.9305317,0.006586659,0.00042190612,0.0006301004,0.00016632047,0.005412339],"genre_scores_gemma":[0.073569536,0.056942668,0.11704059,0.72373784,0.01779067,0.0048372173,0.0009011619,0.0015073542,0.0036730447],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.22707725,0.59441125,0.082650974,0.016661769,0.075254925,0.0039438205],"domain_scores_gemma":[0.01099025,0.9293143,0.008063502,0.01904069,0.029959623,0.0026316408],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.800055,0.0018997235,0.006473237,0.014541803,0.006137856,0.043053627,0.013905079,0.02505253,0.025880694],"category_scores_gemma":[0.909503,0.0029973998,0.0066517186,0.014340205,0.034579165,0.05282206,0.028532028,0.042278886,0.0052452865],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011160849,0.00016488027,0.0029049886,0.025123205,0.001580251,0.0002912902,0.029754579,0.0011125418,0.0005683855,0.12039884,0.36584836,0.45113656],"study_design_scores_gemma":[0.000598403,0.0004550741,0.0031492568,0.09890978,0.0012882685,0.00053481717,0.012438883,0.0014748408,0.0017806086,0.23713116,0.6417002,0.0005387453],"about_ca_topic_score_codex":0.008553125,"about_ca_topic_score_gemma":0.012136389,"teacher_disagreement_score":0.9569464,"about_ca_system_score_codex":0.02357353,"about_ca_system_score_gemma":0.085830495,"threshold_uncertainty_score":0.24656779},"labels":[],"label_agreement":null},{"id":"W4281608714","doi":"10.3389/frma.2022.898896","title":"Mexican Scientist Diaspora in North America: A Perspective on Collaborations With México","year":2022,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"Community Health and Development","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Diaspora; Work (physics); Perspective (graphical); Political science; Economic growth; Developing country; Sociology; Development economics; Law","score_opus":0.200778766817947,"score_gpt":0.49525354808427924,"score_spread":0.2944747812663322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281608714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9561704,0.0029167652,0.0002731143,0.01537805,0.00007968541,0.000036861253,0.00007748399,0.00000751962,0.025060192],"genre_scores_gemma":[0.99343723,0.0027347086,0.0002603452,0.0011015354,0.00003172413,0.000055590506,0.000051120933,0.000005886927,0.0023218892],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9976834,0.0012225158,0.000050507835,0.00013540711,0.000148443,0.0007597299],"domain_scores_gemma":[0.9964218,0.0015680182,0.00068100524,0.00012009984,0.00032087768,0.00088822795],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0036286921,0.00024734557,0.00038278656,0.0019959565,0.014620086,0.006236361,0.00088195567,0.0011734824,0.0035730868],"category_scores_gemma":[0.0043576607,0.00019983122,0.00021643568,0.0027099743,0.0043373858,0.0035196268,0.0076491744,0.0017960586,0.00009881971],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006364654,0.00010737862,0.046945523,0.0001676617,0.000020574602,0.0014804541,0.91243947,0.000044954402,0.0004677928,0.021855965,0.0029496388,0.013457037],"study_design_scores_gemma":[0.000003680217,0.000017239397,0.023145719,0.00017306303,0.000008503314,0.00014064665,0.94828653,0.00002889342,0.000058408914,0.00042490775,0.027704092,0.000008407679],"about_ca_topic_score_codex":0.08836341,"about_ca_topic_score_gemma":0.15681155,"teacher_disagreement_score":0.998004,"about_ca_system_score_codex":0.006714827,"about_ca_system_score_gemma":0.009567402,"threshold_uncertainty_score":0.17569816},"labels":[],"label_agreement":null},{"id":"W4287877402","doi":"10.3389/frma.2022.838553","title":"Closed Shop or Collaborative Hub? An Analysis of the Partners' Importance in CANZUK Countries' Research Collaborations","year":2022,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Developing country; Regional science; Economic growth; Sociology; Economics; Computer science","score_opus":0.7240881977782228,"score_gpt":0.6496951819978779,"score_spread":0.07439301578034485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287877402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98996186,0.000547352,0.0009566448,0.00020277777,0.00001793826,0.000028203842,0.00018658652,0.000009138346,0.008089558],"genre_scores_gemma":[0.9989506,0.00016955503,0.00041262724,0.000009931951,0.0000043341765,0.000014063088,0.00010646069,0.0000027976685,0.0003296321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959104,0.0015752316,0.00045218074,0.00050972245,0.0008855203,0.00066684873],"domain_scores_gemma":[0.97515213,0.01200472,0.006022451,0.0010253453,0.003161631,0.0026337805],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0050798343,0.00017937295,0.00047669146,0.007650488,0.0017108456,0.003951423,0.0004822428,0.000563562,0.0028560017],"category_scores_gemma":[0.024882976,0.00017131963,0.00036062187,0.014050602,0.0011367714,0.0038914885,0.0029498038,0.00046043316,0.00026754173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002713081,0.00006843394,0.91189027,0.00027055127,0.00015358053,0.0009893165,0.021826267,0.0008309936,0.0005255528,0.0071678874,0.0012568072,0.054749034],"study_design_scores_gemma":[0.000017669485,0.00010772403,0.92675847,0.00017748888,0.00015767846,0.00055184716,0.05675873,0.0033371511,0.00044868066,0.0026821333,0.008957299,0.00004510706],"about_ca_topic_score_codex":0.0060797147,"about_ca_topic_score_gemma":0.007922909,"teacher_disagreement_score":0.99825674,"about_ca_system_score_codex":0.0017432376,"about_ca_system_score_gemma":0.0018561445,"threshold_uncertainty_score":0.026865065},"labels":[],"label_agreement":null},{"id":"W4321375960","doi":"10.3389/frma.2023.1040823","title":"Factors that affect scientific publication in Africa—A gender perspective","year":2023,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université du Québec à Montréal","funders":"Robert Bosch Stiftung; International Development Research Centre","keywords":"Productivity; Affect (linguistics); Workload; Psychology; Publication; Perspective (graphical); Demographic economics; Demography; Sociology; Political science; Economic growth; Economics; Management; Law","score_opus":0.9005667755092183,"score_gpt":0.6405828413056083,"score_spread":0.25998393420361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321375960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860926,0.0024419562,0.00046389241,0.002282283,0.00005842471,0.00001606289,0.00022198615,0.0000094150455,0.008413419],"genre_scores_gemma":[0.99753237,0.0011067087,0.00028249357,0.00010552249,0.000061028004,0.000013204111,0.000050446422,0.0000076083284,0.00084064744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977598,0.0011447904,0.00018172433,0.00014075954,0.00040431236,0.00036855848],"domain_scores_gemma":[0.97968346,0.011558384,0.00589502,0.00046188803,0.0009805782,0.0014206951],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0036339248,0.0002474161,0.00024366063,0.0020982088,0.0011186247,0.0020509865,0.00029141977,0.00030125817,0.004762508],"category_scores_gemma":[0.018869942,0.00013092527,0.00019141306,0.0033331001,0.0009969415,0.0015519632,0.0012807333,0.00031582027,0.000539956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026232377,0.00013329188,0.89278257,0.00036213695,0.00006198767,0.0012470637,0.036742892,0.00025759512,0.0039384593,0.004618101,0.0015186878,0.058074914],"study_design_scores_gemma":[0.000029596242,0.00025205986,0.9253421,0.0004021122,0.000044474666,0.0016291563,0.04322534,0.0003674052,0.0017457264,0.0037555506,0.023166588,0.000039895927],"about_ca_topic_score_codex":0.0011323856,"about_ca_topic_score_gemma":0.0013749688,"teacher_disagreement_score":0.9979018,"about_ca_system_score_codex":0.00051636924,"about_ca_system_score_gemma":0.0011194545,"threshold_uncertainty_score":0.019218266},"labels":[],"label_agreement":null},{"id":"W4327620140","doi":"10.3389/frma.2023.1100845","title":"Bibliometric analysis of studies of the Arctic and Antarctic polynya","year":2023,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China","keywords":"Arctic; The arctic; Oceanography; Glacier; Polar; Polar night; Climatology; Environmental science; Geography; Geology; Physical geography","score_opus":0.13210216356199242,"score_gpt":0.3789340575572325,"score_spread":0.24683189399524005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327620140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7603918,0.0947527,0.001479336,0.001362682,0.00019622945,0.0003710024,0.104847334,0.00021007202,0.036388874],"genre_scores_gemma":[0.9129594,0.03863533,0.0017435186,0.00014879342,0.00028544661,0.0004654136,0.04377978,0.00004540164,0.0019369536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99072284,0.0014619585,0.0026370727,0.00082809833,0.003923666,0.00042629289],"domain_scores_gemma":[0.9522945,0.023706157,0.012192088,0.0012800134,0.009439181,0.0010881259],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0055397335,0.00049279706,0.0010942644,0.12027059,0.0010586426,0.003411683,0.0005443881,0.00037950248,0.003573367],"category_scores_gemma":[0.033286154,0.00019776176,0.0012407681,0.18982299,0.000589206,0.0020838154,0.0016675688,0.00029845512,0.00060105487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002494857,0.000060343707,0.8501036,0.013258277,0.0016076984,0.0006447211,0.0037790483,0.0007437113,0.001329142,0.002242753,0.009571685,0.11640954],"study_design_scores_gemma":[0.0000128339425,0.000051105893,0.9607411,0.0015611737,0.0007839844,0.00059866253,0.004154028,0.00054584065,0.00053577905,0.000521467,0.030460592,0.000033562057],"about_ca_topic_score_codex":0.013393769,"about_ca_topic_score_gemma":0.015445719,"teacher_disagreement_score":0.8797294,"about_ca_system_score_codex":0.0020650781,"about_ca_system_score_gemma":0.003507658,"threshold_uncertainty_score":0.029297233},"labels":[],"label_agreement":null},{"id":"W4366207761","doi":"10.3389/frma.2023.1152535","title":"Multi-task learning to detect suicide ideation and mental disorders among social media users","year":2023,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"Mental Health via Writing","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Georgetown University","keywords":"Suicidal ideation; Mental illness; Mental health; Psychology; Generalizability theory; Social media; Classification of mental disorders; Suicide prevention; Poison control; Psychiatry; Clinical psychology; Computer science; Medicine; Prevalence of mental disorders; Developmental psychology; Medical emergency","score_opus":0.17570607509553313,"score_gpt":0.4782404244055295,"score_spread":0.30253434930999634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366207761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.901089,0.0015301857,0.0908928,0.0012721268,0.00022050976,0.00025889842,0.0013855079,0.0010718165,0.0022791417],"genre_scores_gemma":[0.9833784,0.000105405335,0.014040375,0.00014031286,0.00009688103,0.00007992887,0.0011581106,0.00001793107,0.000982744],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984993,0.0007177376,0.00010905002,0.00038362754,0.00014063875,0.00014967333],"domain_scores_gemma":[0.991351,0.0061051827,0.0006927985,0.00064051815,0.0007724334,0.00043807074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031100253,0.001078449,0.00075730885,0.0015729847,0.0005356345,0.0010156484,0.0007827063,0.0011040247,0.0013079846],"category_scores_gemma":[0.013722862,0.00024401865,0.0007778536,0.00085308595,0.00033310722,0.0012444236,0.0012908513,0.0014371085,0.0007302169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023776768,0.00425096,0.26739833,0.0004552175,0.0008074027,0.00068273605,0.0011706969,0.11212614,0.0054053133,0.0010653523,0.01090864,0.5933514],"study_design_scores_gemma":[0.000041728483,0.00031167126,0.026791252,0.000028622977,0.000080817445,0.00008905336,0.00026125458,0.9669484,0.001647716,0.0029599268,0.00081496325,0.000024637255],"about_ca_topic_score_codex":0.0042859893,"about_ca_topic_score_gemma":0.004011579,"teacher_disagreement_score":0.0042859893,"about_ca_system_score_codex":0.0005421878,"about_ca_system_score_gemma":0.00055406964,"threshold_uncertainty_score":0.016447544},"labels":[],"label_agreement":null},{"id":"W4377565371","doi":"10.3389/frma.2023.1173805","title":"Indigenous Peoples' Rights in Data: a contribution toward Indigenous Research Sovereignty","year":2023,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McMaster University","funders":"Ministry for Business Innovation and Employment; Udall Foundation","keywords":"Indigenous; Sovereignty; Food sovereignty; Context (archaeology); Political science; Sociology; Political economy; Law; Geography; Politics; Ecology; Food security","score_opus":0.22195990329777585,"score_gpt":0.47866625661515544,"score_spread":0.25670635331737957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377565371","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12403292,0.018488806,0.1614259,0.40288985,0.0019530182,0.00038728132,0.00051670364,0.0003221164,0.28998333],"genre_scores_gemma":[0.9398437,0.005785787,0.03172423,0.009994198,0.0013317293,0.0003054607,0.00025124426,0.00026196474,0.010501829],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8585228,0.098682165,0.007810574,0.010650539,0.019571038,0.0047629564],"domain_scores_gemma":[0.5718094,0.2867642,0.019841336,0.07125338,0.03730265,0.01302903],"candidate_categories":["metaresearch","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.19577195,0.00049217505,0.0012199089,0.006361035,0.012016263,0.026820501,0.003555618,0.0052869204,0.0052895118],"category_scores_gemma":[0.24161772,0.00087251596,0.0009245595,0.0074717035,0.092878915,0.053151872,0.04321115,0.012401152,0.00056780333],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001326405,0.000028128721,0.0046461555,0.0002866009,0.000027700547,0.0001756624,0.15350753,0.00015098689,0.00030759434,0.8079643,0.0035658078,0.029326294],"study_design_scores_gemma":[0.000010919524,0.000026253048,0.0035236238,0.0017025722,0.000033914017,0.00039138834,0.076966144,0.00082077336,0.00064746966,0.7037672,0.21204469,0.0000650543],"about_ca_topic_score_codex":0.014806636,"about_ca_topic_score_gemma":0.0117416065,"teacher_disagreement_score":0.9964444,"about_ca_system_score_codex":0.00802413,"about_ca_system_score_gemma":0.029143943,"threshold_uncertainty_score":0.9917564},"labels":[],"label_agreement":null},{"id":"W4392057301","doi":"10.3389/frma.2024.1335454","title":"Scholar Metrics Scraper (SMS): automated retrieval of citation and author data","year":2024,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"Division of Mathematical Sciences; Canadian Institutes of Health Research; Deutsches Krebsforschungszentrum; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Heart and Stroke Foundation of Canada","keywords":"Citation; Computer science; Scraper site; Information retrieval; Visualization; Data science; Graph; Citation database; Data retrieval; Data visualization; World Wide Web; Data mining; Scopus","score_opus":0.7988117842642299,"score_gpt":0.6516311723059829,"score_spread":0.14718061195824705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392057301","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0588736,0.0014583722,0.1992745,0.0023235858,0.00083741674,0.0019260043,0.20670441,0.5009406,0.02766159],"genre_scores_gemma":[0.13200672,0.0012309601,0.5146945,0.00070211675,0.00060057605,0.0026160423,0.27211934,0.04177483,0.034254882],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99281245,0.001539744,0.0009198196,0.0010417495,0.0033165195,0.00036971533],"domain_scores_gemma":[0.9658521,0.010660087,0.004494628,0.0064217374,0.010839898,0.0017314188],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0060406583,0.0021427947,0.0014386867,0.019903746,0.0010484502,0.0041500493,0.0017121964,0.0008295944,0.017400283],"category_scores_gemma":[0.041002233,0.0010884601,0.0012537009,0.016735857,0.00041752946,0.004271391,0.0037385873,0.0012928329,0.01988423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005512482,0.00025295993,0.01079164,0.0018755517,0.00039116014,0.00039908075,0.0017521372,0.0015185061,0.011725235,0.00480824,0.5171917,0.44874257],"study_design_scores_gemma":[0.00063026015,0.0005354839,0.05492461,0.0005672523,0.00025833555,0.000711257,0.0015108605,0.05578516,0.07972039,0.017682835,0.787074,0.00059949217],"about_ca_topic_score_codex":0.0065789837,"about_ca_topic_score_gemma":0.010094936,"teacher_disagreement_score":0.99395937,"about_ca_system_score_codex":0.0011969198,"about_ca_system_score_gemma":0.003604668,"threshold_uncertainty_score":0.058209777},"labels":[],"label_agreement":null},{"id":"W4399571830","doi":"10.3389/frma.2024.1374628","title":"Pedagogical implications of pragmatic HRM research","year":2024,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Crandall University","funders":"","keywords":"Embeddedness; Human resource management; Centrality; Sociology; Context (archaeology); Perspective (graphical); Knowledge management; Scholarship; Resource (disambiguation); Engineering ethics; Political science; Social science; Computer science; Engineering","score_opus":0.321167711148779,"score_gpt":0.46098638690305244,"score_spread":0.13981867575427342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399571830","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017271942,0.015760906,0.10994641,0.48689726,0.004442798,0.0006955155,0.000114647875,0.0002352987,0.36463517],"genre_scores_gemma":[0.7944476,0.015350756,0.11597902,0.03654785,0.0028436817,0.0036239915,0.00012359624,0.00027027485,0.030813182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9516026,0.04154567,0.00086488645,0.0012045883,0.0038057307,0.000976602],"domain_scores_gemma":[0.9227245,0.06581462,0.0013774518,0.0033514195,0.0035587188,0.0031732435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.048803847,0.0007979376,0.0012285624,0.0028460734,0.0083344225,0.012084248,0.0033436904,0.004492522,0.015599295],"category_scores_gemma":[0.05595881,0.0008328318,0.0006259567,0.0022190444,0.028239837,0.017298197,0.011953509,0.009533331,0.002228626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015028361,0.00007394109,0.00018132948,0.00026349438,0.0000045427428,0.0001263344,0.011651286,0.00016187226,0.00009268278,0.96822584,0.0040974,0.015106138],"study_design_scores_gemma":[0.000037503647,0.00004020957,0.00024474208,0.0009170584,0.0000072378707,0.00017634181,0.022988005,0.00071517605,0.00017075277,0.88506687,0.08962406,0.000012136433],"about_ca_topic_score_codex":0.001274481,"about_ca_topic_score_gemma":0.0021133178,"teacher_disagreement_score":0.048803847,"about_ca_system_score_codex":0.007321753,"about_ca_system_score_gemma":0.011141339,"threshold_uncertainty_score":0.25810254},"labels":[],"label_agreement":null},{"id":"W4404364357","doi":"10.3389/frma.2024.1469377","title":"Bicultural peace pedagogy: opportunities and obstacles","year":2024,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"Peace and Human Rights Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Aotearoa; Indigenous; Biculturalism; Pedagogy; Decolonization; Sociology; Transformative learning; Indigenization; Curriculum; Political science; Gender studies; Anthropology; Psychology","score_opus":0.393941983281027,"score_gpt":0.510302722505537,"score_spread":0.11636073922451001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404364357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50818855,0.028357428,0.03208152,0.2113582,0.0011585503,0.0008492771,0.0001358553,0.00034708212,0.21752366],"genre_scores_gemma":[0.97573835,0.0045401794,0.009169954,0.0025229908,0.000098880206,0.00042883927,0.00004158173,0.00004660981,0.0074126185],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9734588,0.017150259,0.0008588367,0.0016665601,0.0034621966,0.00340331],"domain_scores_gemma":[0.9690943,0.018920448,0.0015708655,0.0021033897,0.0036700638,0.0046408423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029786931,0.0004880718,0.0007022785,0.0021718494,0.010484534,0.013763542,0.0028940137,0.0020730954,0.0066925623],"category_scores_gemma":[0.02851739,0.0003780082,0.0004315451,0.0028338204,0.013890702,0.014774506,0.022047311,0.0051384754,0.0008452732],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072223,0.0006300295,0.021618184,0.0016802059,0.000028088218,0.0003938539,0.2698348,0.00043192986,0.0004273256,0.31422207,0.0053771464,0.38528422],"study_design_scores_gemma":[0.000023807306,0.00021358863,0.011407293,0.0031123485,0.000018229723,0.00034797212,0.7135777,0.0011276851,0.00092653825,0.10904629,0.16014712,0.00005150177],"about_ca_topic_score_codex":0.010786145,"about_ca_topic_score_gemma":0.015847934,"teacher_disagreement_score":0.029786931,"about_ca_system_score_codex":0.008567354,"about_ca_system_score_gemma":0.03187695,"threshold_uncertainty_score":0.15753025},"labels":[],"label_agreement":null},{"id":"W4404705101","doi":"10.3389/frma.2024.1473940","title":"An updated and expanded characterization of the biological sciences academic job market","year":2024,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Context (archaeology); Seniority; Job market; Ethnic group; Personnel selection; Residence; Psychology; Medical education; Political science; Work (physics); Medicine; Sociology; Demography; Management; Geography; Engineering; Economics","score_opus":0.20683574180149192,"score_gpt":0.4498295973646874,"score_spread":0.2429938555631955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404705101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89216006,0.004630054,0.016576916,0.007665264,0.0007115406,0.0006607937,0.02700308,0.00028728036,0.050305158],"genre_scores_gemma":[0.94674236,0.0022699437,0.022515457,0.0014086743,0.0007864462,0.0008698195,0.017867455,0.00011917793,0.007420704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969669,0.0008070276,0.0004348405,0.00041544857,0.0010561803,0.00031957196],"domain_scores_gemma":[0.9760656,0.005450708,0.006218994,0.0017939138,0.008252003,0.002218886],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0070051085,0.0003517569,0.000465108,0.008676716,0.0014111244,0.0031697662,0.0013427582,0.00064438436,0.009279316],"category_scores_gemma":[0.014746381,0.00016591407,0.00059005007,0.006966678,0.00072054955,0.0039435523,0.0030219806,0.0011790494,0.0018609769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013539162,0.00035050328,0.7646208,0.0007241199,0.00006793248,0.0001366757,0.005710552,0.00053203455,0.0022961777,0.006326891,0.02702127,0.1920776],"study_design_scores_gemma":[0.0000056131,0.00009498195,0.95519274,0.00026009683,0.00001441795,0.00020405132,0.0031562026,0.00087764853,0.00050575583,0.0016482234,0.037998687,0.000041511918],"about_ca_topic_score_codex":0.008326773,"about_ca_topic_score_gemma":0.014817977,"teacher_disagreement_score":0.9929949,"about_ca_system_score_codex":0.0015672446,"about_ca_system_score_gemma":0.0028243945,"threshold_uncertainty_score":0.03704703},"labels":[],"label_agreement":null},{"id":"W4415418967","doi":"10.3389/frma.2025.1679842","title":"A pilot study investigating the relationship between journal impact factor and methodological quality of real-world observational studies","year":2025,"lang":"en","type":"article","venue":"Frontiers in Research Metrics and Analytics","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Impact factor; Observational study; Quality (philosophy); Correlation; Research methodology","score_opus":0.9913812306646533,"score_gpt":0.7557971764383623,"score_spread":0.23558405422629103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415418967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94527006,0.008845677,0.01797013,0.0014861648,0.00031811095,0.019282477,0.0030118052,0.00015395247,0.0036615499],"genre_scores_gemma":[0.9569799,0.0011592765,0.022078406,0.0005698417,0.00021692023,0.01770544,0.0008849197,0.00003250697,0.00037281908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.86147875,0.09752492,0.025461107,0.0047229743,0.009196141,0.0016160868],"domain_scores_gemma":[0.26161587,0.56646013,0.09606843,0.027232628,0.044044532,0.0045784824],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.16743883,0.0008102379,0.0014458811,0.004352634,0.0011729688,0.0028800676,0.0011900103,0.0013379628,0.0052504144],"category_scores_gemma":[0.36392808,0.0007697828,0.0038147478,0.0052850605,0.0018496565,0.003273362,0.0022714366,0.0011020446,0.0005304233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007325232,0.0018842323,0.9181664,0.011603129,0.004002136,0.00045375086,0.0067655733,0.0004388609,0.0012906997,0.00089432474,0.0014188793,0.045756795],"study_design_scores_gemma":[0.0032548893,0.033266332,0.93152964,0.0051450618,0.00698819,0.0010809976,0.0056285267,0.002613699,0.0014975397,0.0010206224,0.0078048757,0.00016960199],"about_ca_topic_score_codex":0.001686525,"about_ca_topic_score_gemma":0.0033200523,"teacher_disagreement_score":0.9956474,"about_ca_system_score_codex":0.0028984451,"about_ca_system_score_gemma":0.006148969,"threshold_uncertainty_score":0.88551176},"labels":[],"label_agreement":null}]}