{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":16,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":16,"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":"847e213c69b4","filters":{"venue":"Global Epidemiology"}},"results":[{"id":"W4295292764","doi":"10.1016/j.gloepi.2022.100085","title":"P-value, compatibility, and S-value","year":2022,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Compatibility (geochemistry); Confidence interval; Overconfidence effect; Statistics; Statistical hypothesis testing; Mathematics; Econometrics; Computer science; Psychology; Social psychology","authors":[{"name":"Mohammad Alì Mansournia","is_ca":false},{"name":"Maryam Nazemipour","is_ca":false},{"name":"Mahyar Etminan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7988932864663181,"gpt":0.59056778162296,"spread":0.2083255048433581,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.2766068,0.0002309942,0.004474646,0.00009737507,0.0003529111,0.00006802217,0.001596046,0.00006873919,0.01243321],"category_scores_gemma":[0.1490289,0.0001230835,0.001040878,0.0009867427,0.0001925243,0.0000707194,0.0009980551,0.0002139167,0.001269401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009973029,"about_ca_system_score_gemma":0.00005688125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002775046,"about_ca_topic_score_gemma":0.0000372145,"domain_scores_codex":[0.8900272,0.09318426,0.01195313,0.001820945,0.00246265,0.0005518359],"domain_scores_gemma":[0.9693643,0.02157051,0.004626239,0.00385967,0.0002914606,0.0002878606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006665088,0.00002682291,0.5111565,0.00000687836,0.00006297373,0.000003595983,0.00003818083,0.002112731,0.000001648703,0.2934184,0.183283,0.009882515],"study_design_scores_gemma":[0.0001158151,0.00007147281,0.2596838,0.000001505021,0.00005717397,0.00009212804,0.000209601,0.0286307,1.444547e-7,0.3737675,0.3372615,0.0001086879],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8642747,0.008657141,0.02870519,0.02160036,0.00160707,0.001088464,0.0003004392,0.000025042,0.07374161],"genre_scores_gemma":[0.9785559,0.00001991387,0.01049623,0.009198518,0.00006984426,0.00004901973,0.00001566152,0.000004732522,0.001590205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2514727,"threshold_uncertainty_score":0.9995082,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4323667182","doi":"10.1016/j.gloepi.2023.100103","title":"Effective contact tracing for COVID-19: A systematic review","year":2023,"lang":"en","type":"review","venue":"Global Epidemiology","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Université de Montréal","keywords":"Contact tracing; Observational study; Coronavirus disease 2019 (COVID-19); Quarantine; Tracing; Pandemic; Outbreak; Certainty; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Computer science; Virology; Pathology; Infectious disease (medical specialty); Mathematics; Disease","authors":[{"name":"Carl-Étienne Juneau","is_ca":true},{"name":"Anne-Sara Briand","is_ca":true},{"name":"Pablo Collazzo","is_ca":false},{"name":"Uwe Siebert","is_ca":false},{"name":"Tomas Pueyo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2010003059917035,"gpt":0.4803502832093546,"spread":0.2793499772176511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01188597,0.001123871,0.01221121,0.0002612985,0.0002487688,0.0001046304,0.0031336,0.0007362814,0.000004448661],"category_scores_gemma":[0.1508769,0.0008717554,0.002772727,0.001618352,0.00007919715,0.0004114348,0.0008065325,0.0005761829,0.0006402041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003182509,"about_ca_system_score_gemma":0.002034978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002223515,"about_ca_topic_score_gemma":0.0000796165,"domain_scores_codex":[0.9874149,0.005067078,0.003733495,0.002072487,0.0002853251,0.001426691],"domain_scores_gemma":[0.9323314,0.06200257,0.002610529,0.002078331,0.0001742878,0.0008029029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000002770551,0.00001578421,0.000001420085,0.8711573,0.00045467,0.00006468702,0.00001266536,0.000006366581,4.452331e-9,0.06811481,0.002962039,0.05720742],"study_design_scores_gemma":[0.0002364425,0.0002166391,0.000001487049,0.6626747,0.002099328,0.0004151032,0.000002655743,0.0004674057,8.594068e-9,0.009916579,0.3232077,0.000761906],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.760754e-9,0.6446487,0.3421733,0.0008762223,0.0006943156,0.01049836,0.0002506129,0.0006921785,0.0001662523],"genre_scores_gemma":[0.000002046043,0.9729229,0.001937683,0.01767103,0.000163972,0.00703474,0.0001278394,0.00006143816,0.00007830733],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3402356,"threshold_uncertainty_score":0.9993733,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285013168","doi":"10.1016/j.gloepi.2022.100080","title":"A practical guide to handling competing events in etiologic time-to-event studies","year":2022,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Event (particle physics); Data science; Computer science; Gray (unit); Psychology; Medicine","authors":[{"name":"Mohammad Alì Mansournia","is_ca":false},{"name":"Maryam Nazemipour","is_ca":false},{"name":"Mahyar Etminan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3566838923493453,"gpt":0.5653202569144733,"spread":0.208636364565128,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006513185,0.0002315801,0.0009336765,0.0001031878,0.0001652282,0.000002012266,0.000322341,0.00009667488,0.0002391144],"category_scores_gemma":[0.07082261,0.0002145666,0.00009097724,0.0004321918,0.00006374063,0.00005273941,0.001241432,0.0004096629,0.0002376135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061608,"about_ca_system_score_gemma":0.00007450495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006623677,"about_ca_topic_score_gemma":0.00005231996,"domain_scores_codex":[0.995364,0.002152788,0.001045704,0.0005522612,0.0001700936,0.0007151799],"domain_scores_gemma":[0.9916492,0.00745217,0.0002936115,0.0003591714,0.00009555567,0.0001503233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005722567,0.0008114819,0.08524606,0.0001330955,0.0002765984,0.0002518072,0.0009988749,0.02625181,0.001029407,0.6340753,0.243785,0.006568285],"study_design_scores_gemma":[0.0003759973,0.0009379605,0.003639287,0.0001196207,0.00002989729,0.0001702143,0.001120317,0.001504372,0.00005063614,0.9589548,0.03264639,0.0004505364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4274555,0.0006700307,0.5076905,0.05248408,0.0006813026,0.002909865,0.0001085565,0.001157642,0.006842573],"genre_scores_gemma":[0.2702959,0.00003166284,0.7173921,0.010918,0.0001009705,0.0008335841,0.00001400004,0.00002588193,0.0003879361],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3248795,"threshold_uncertainty_score":0.9370043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3012788892","doi":"10.1016/j.gloepi.2020.100023","title":"1,000,000 cases of COVID-19 outside of China: The date predicted by a simple heuristic","year":2020,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":52,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Laurentian University","funders":"","keywords":"Heuristic; Coronavirus disease 2019 (COVID-19); Extrapolation; Pandemic; Simple (philosophy); Exponential function; Econometrics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Statistics; Plot (graphics); Mathematics; Mathematical optimization; Medicine; Outbreak; Virology; Mathematical analysis","authors":[{"name":"Waldemar W. Koczkodaj","is_ca":true},{"name":"Mohammad Alì Mansournia","is_ca":false},{"name":"Witold Pedrycz","is_ca":true},{"name":"Alicja Wolny–Dominiak","is_ca":false},{"name":"P.F. Zabrodskii","is_ca":false},{"name":"Dominik Strzałka","is_ca":false},{"name":"Terri S. Armstrong","is_ca":true},{"name":"Amir Hussain Zolfaghari","is_ca":true},{"name":"Maciej Dębski","is_ca":false},{"name":"Jiří Mazurek","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2648462677591209,"gpt":0.4476661313570791,"spread":0.1828198635979582,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00335928,0.0004075355,0.002187559,0.00002662229,0.0001754359,0.000003367163,0.0008615578,0.0002988977,0.0003378949],"category_scores_gemma":[0.3543442,0.0002539488,0.000347193,0.0005140755,0.001173773,0.0000438885,0.0007515787,0.0003473608,0.00001296779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031695,"about_ca_system_score_gemma":0.000135807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006280677,"about_ca_topic_score_gemma":0.0002126889,"domain_scores_codex":[0.9932395,0.00300069,0.002063886,0.0007107479,0.0002271299,0.0007580555],"domain_scores_gemma":[0.9570915,0.04033432,0.001298444,0.0007189349,0.0001203892,0.0004363774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004459851,0.0001922104,0.2576076,0.0007667954,0.0004224048,0.0000437434,0.0004220035,0.00105131,0.00008251498,0.09684873,0.6414746,0.0006421363],"study_design_scores_gemma":[0.002005942,0.001752403,0.1046836,0.00006504945,0.000640326,0.0001015227,0.0005326465,0.006598216,0.00008526917,0.6609693,0.2218712,0.0006945386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5543976,0.008759018,0.1787033,0.2157297,0.0005681009,0.003153761,0.03301731,0.0009968699,0.004674371],"genre_scores_gemma":[0.9750329,0.0003597905,0.00226725,0.02201723,0.0001253773,0.00005653832,0.0001024713,0.00001928131,0.00001913709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5641206,"threshold_uncertainty_score":0.9999913,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2964628549","doi":"10.1016/j.gloepi.2019.100005","title":"A matrix for bridging the epidemiology and risk assessment gap","year":2019,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Health Canada; University of Ottawa","funders":"American Petroleum Institute; National Institutes of Health; U.S. Environmental Protection Agency","keywords":"Bridging (networking); Multidisciplinary approach; Epidemiology; Risk assessment; Public health; Computer science; Management science; Risk analysis (engineering); Data science; Knowledge management; Medicine; Engineering; Pathology; Sociology; Computer security; Social science","authors":[{"name":"Carol J. Burns","is_ca":false},{"name":"Judy S. LaKind","is_ca":false},{"name":"Donald R. Mattison","is_ca":true},{"name":"Cecilia S. Alcala","is_ca":false},{"name":"Francesca Branch","is_ca":false},{"name":"Juan Castillo","is_ca":false},{"name":"April K. Clark","is_ca":false},{"name":"Jane E. Clougherty","is_ca":false},{"name":"Sally D. Perreault","is_ca":false},{"name":"Heidi S. Erickson","is_ca":false},{"name":"Michael Goodman","is_ca":false},{"name":"Matthias Greiner","is_ca":false},{"name":"Anne M. Jurek","is_ca":false},{"name":"Aubrey Miller","is_ca":false},{"name":"Andrew A. Rooney","is_ca":false},{"name":"Angelika Zidek","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0454041232417613,"gpt":0.3817760888421286,"spread":0.3363719656003673,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01276642,0.0002656176,0.0007119291,0.00001883217,0.0003300568,0.000006497777,0.0003324658,0.0002202461,0.0005960925],"category_scores_gemma":[0.006213952,0.0001914523,0.0001390145,0.0001277014,0.0006094873,0.0001297117,0.0004549673,0.0003935881,0.0007724067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004872965,"about_ca_system_score_gemma":0.00002765831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002267596,"about_ca_topic_score_gemma":0.0001798696,"domain_scores_codex":[0.9940618,0.002912792,0.0007571374,0.001032472,0.0001043856,0.001131423],"domain_scores_gemma":[0.9903671,0.008301283,0.0005042836,0.0005821828,0.000008030739,0.0002371009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002414846,0.00001907465,0.950659,0.00001385883,0.00003102221,0.00000112665,0.00002762455,0.002264944,0.00004067264,0.008053916,0.003875678,0.03498888],"study_design_scores_gemma":[0.0005203278,0.0001709348,0.8731025,0.00001089877,0.00004546714,0.00004650391,0.00007225784,0.02970957,0.000002402688,0.04954699,0.04657097,0.0002011679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.870639,0.0008793651,0.09964217,0.01755363,0.000447122,0.0016484,0.0001221857,0.00006432805,0.009003775],"genre_scores_gemma":[0.9572194,0.001175312,0.02619971,0.01472269,0.0001689592,0.0001867594,0.00002476614,0.00002255859,0.000279799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08658041,"threshold_uncertainty_score":0.9927983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321460209","doi":"10.1016/j.gloepi.2023.100100","title":"Modifiable risk factors for diphtheria: A systematic review and meta-analysis","year":2023,"lang":"en","type":"review","venue":"Global Epidemiology","topic":"Diphtheria, Corynebacterium, and Tetanus","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Diphtheria; Medicine; Odds ratio; Meta-analysis; Confidence interval; Vaccination; Systematic review; Bedroom; Environmental health; Relative risk; Bathing; Pediatrics; MEDLINE; Internal medicine; Immunology; Pathology; Geography","authors":[{"name":"Juniorcaius Ikejezie","is_ca":false},{"name":"Busola Adebusoye","is_ca":false},{"name":"Winifred Ekezie","is_ca":false},{"name":"Tessa Langley","is_ca":false},{"name":"Sarah Lewis","is_ca":false},{"name":"Revati Phalkey","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1902550896103891,"gpt":0.4115961976532015,"spread":0.2213411080428124,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003038642,0.0009155046,0.01410493,0.00009543906,0.0001244784,0.00002373165,0.0006205493,0.0008966763,0.00005959595],"category_scores_gemma":[0.007458093,0.0005815912,0.005655273,0.0005480808,0.0001562984,0.000004596397,0.0002876007,0.0001972615,0.00004739665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005769384,"about_ca_system_score_gemma":0.0001331701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003243832,"about_ca_topic_score_gemma":0.00005523865,"domain_scores_codex":[0.9932624,0.002573238,0.002008938,0.001327294,0.0001004081,0.0007278011],"domain_scores_gemma":[0.9952155,0.00120774,0.001855185,0.001361679,0.0001270848,0.0002328354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.000007910283,0.00003380194,0.00001058871,0.654003,0.3424954,0.000003193891,0.000003151267,0.00001681096,3.148568e-7,0.0003458172,0.002458864,0.0006211575],"study_design_scores_gemma":[0.00007504044,0.0001307534,0.000001765855,0.002271724,0.7767362,0.00002648315,0.00000592423,0.000009769783,1.620042e-7,0.0003724222,0.2198862,0.0004835885],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000007608668,0.9892001,0.001406844,0.00005280268,0.0001692301,0.003468689,0.005489756,0.00005278833,0.000152162],"genre_scores_gemma":[0.000009429599,0.9933895,0.0003835068,0.0004261213,0.00009136003,0.001953081,0.002185267,0.00007265398,0.001489006],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6517313,"threshold_uncertainty_score":0.9996635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3194683347","doi":"10.1016/j.gloepi.2021.100061","title":"Trends in the epidemiology of childhood nephrotic syndrome in Africa: A systematic review","year":2021,"lang":"en","type":"review","venue":"Global Epidemiology","topic":"Renal Diseases and Glomerulopathies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; National Institutes of Health; Canada Research Chairs; Government of Canada","keywords":"Nephrotic syndrome; Focal segmental glomerulosclerosis; Minimal change disease; Medicine; Epidemiology; Pediatrics; Kidney disease; Nephrosis; Disease; Glomerulonephritis; Internal medicine; Kidney","authors":[{"name":"Rachel Wine","is_ca":true},{"name":"Jovanka Vasilevska‐Ristovska","is_ca":true},{"name":"Tonny Banh","is_ca":true},{"name":"Janae Knott","is_ca":true},{"name":"Damien Noone","is_ca":true},{"name":"Rasheed Gbadegesin","is_ca":false},{"name":"Titilayo O. Ilori","is_ca":false},{"name":"Henrietta U. Okafor","is_ca":false},{"name":"Francis F. Furia","is_ca":false},{"name":"Ifeoma Ulasi","is_ca":false},{"name":"Adaobi Solarin","is_ca":false},{"name":"Christopher Imokhuede Esezobor","is_ca":false},{"name":"Anthony Batte","is_ca":false},{"name":"Yemi Raheem Raji","is_ca":false},{"name":"Timothy O. Olanrewaju","is_ca":false},{"name":"Uzoamaka Muoneke","is_ca":false},{"name":"Adewale Elijah Adetunji","is_ca":false},{"name":"Vincent Boima","is_ca":false},{"name":"Oluwatoyin Amira","is_ca":false},{"name":"Charlotte Osafo","is_ca":false},{"name":"Georgette Guemkam","is_ca":false},{"name":"Samuel Ajayi","is_ca":false},{"name":"Muhammad Makusidi","is_ca":false},{"name":"Emmanuel Adémólá Anígilájé","is_ca":false},{"name":"Paschal Ruggajo","is_ca":false},{"name":"Adanze Onyenonachi Asinobi","is_ca":false},{"name":"Adebowale Ademola","is_ca":false},{"name":"Rulan S. Parekh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1026563364444578,"gpt":0.4020608392129942,"spread":0.2994045027685364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01114402,0.0007694391,0.01990127,0.0004569336,0.00002896701,0.000001988876,0.0006629634,0.0007897807,0.0001163011],"category_scores_gemma":[0.04066529,0.0004225818,0.002556754,0.002912755,0.0003139731,0.00003569205,0.0001893566,0.0009883606,0.00007159696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003287117,"about_ca_system_score_gemma":0.0004544506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001980935,"about_ca_topic_score_gemma":0.0000436705,"domain_scores_codex":[0.9755379,0.01645298,0.005765733,0.0009451095,0.0002206217,0.001077655],"domain_scores_gemma":[0.9864842,0.009518258,0.002122158,0.001574688,0.0000824456,0.0002182918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000007304762,0.0003398305,0.001573228,0.9476835,0.000436245,0.001042751,0.00002630636,0.000002256517,1.126113e-9,0.007494469,0.002751762,0.03864237],"study_design_scores_gemma":[0.0003821395,0.0003456301,0.01905623,0.9198144,0.006445291,0.009347078,0.00004650497,0.00000519731,3.50997e-10,0.001385623,0.04282381,0.0003480935],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001365275,0.9939981,0.00001044477,0.001931667,0.0001719303,0.002616076,0.0001827371,0.00002074409,0.001054688],"genre_scores_gemma":[0.000187427,0.9943413,0.0001706592,0.003815766,0.00006299002,0.0009191601,0.0004114382,0.00002792546,0.0000632951],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04007205,"threshold_uncertainty_score":0.9998226,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403140655","doi":"10.1016/j.gloepi.2024.100168","title":"Comparing AI/ML approaches and classical regression for predictive modeling using large population health databases: Applications to COVID-19 case prediction","year":2024,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Ottawa Hospital; Larus Technologies (Canada); Institut du Savoir Montfort; Institute for Clinical Evaluative Sciences; University of Ottawa","funders":"Ontario Ministry of Health and Long-Term Care; University of Ottawa","keywords":"Coronavirus disease 2019 (COVID-19); Regression; Population; Computer science; Predictive modelling; Database; Artificial intelligence; Statistics; Machine learning; Medicine; Mathematics; Environmental health; Internal medicine","authors":[{"name":"Lise M. Bjerre","is_ca":true},{"name":"Cayden Peixoto","is_ca":true},{"name":"Rawan Alkurd","is_ca":true},{"name":"Robert Talarico","is_ca":true},{"name":"Rami Abielmona","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3795098186871582,"gpt":0.5039864135553538,"spread":0.1244765948681956,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002330151,0.000237176,0.0007172187,0.0001826185,0.0004457259,0.0000208889,0.00006482976,0.0001828639,0.000003407256],"category_scores_gemma":[0.003051342,0.0002113269,0.000104259,0.0003887737,0.00007361666,0.00016229,0.0001508584,0.0002769087,0.00000314329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001754547,"about_ca_system_score_gemma":0.000498589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002736766,"about_ca_topic_score_gemma":0.0005092819,"domain_scores_codex":[0.9972136,0.0004032931,0.000757601,0.0009570225,0.0001321655,0.0005363308],"domain_scores_gemma":[0.9973243,0.001416559,0.0001380898,0.0003786293,0.00006867616,0.0006737312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001127647,0.0005198732,0.3776717,0.004276842,0.0002990622,0.0001282468,0.0009115734,0.4966101,0.00004254123,0.0618261,0.04242425,0.01416198],"study_design_scores_gemma":[0.0006995078,0.000207444,0.002675477,0.0004393857,0.0001850859,0.001065837,0.0002034642,0.9623082,9.101361e-7,0.002153165,0.02992772,0.000133833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06711747,0.001964688,0.8701947,0.05721833,0.0002137917,0.002017447,0.0009317899,0.0003342199,0.000007603169],"genre_scores_gemma":[0.9317904,0.00006770855,0.03466561,0.03109442,0.0005399979,0.0004649037,0.001343033,0.00002851883,0.000005396346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.864673,"threshold_uncertainty_score":0.8617662,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402023118","doi":"10.1016/j.gloepi.2024.100161","title":"Predicting adolescent psychopathology from early life factors: A machine learning tutorial","year":2024,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"Mental Health via Writing","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Conestoga College","funders":"","keywords":"Psychopathology; Interpretation (philosophy); Machine learning; Artificial intelligence; Computer science; Psychology; Developmental psychology; Clinical psychology; Programming language","authors":[{"name":"Faizaan Siddique","is_ca":true},{"name":"Brian K. Lee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08216763239343759,"gpt":0.4100517666208111,"spread":0.3278841342273735,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002390815,0.0004598587,0.001001438,0.0001184539,0.0002466813,0.00003137327,0.0004166604,0.0007344279,0.001633828],"category_scores_gemma":[0.003865693,0.0004250048,0.0002685344,0.0003683993,0.0002160688,0.0001179127,0.0002128018,0.001504003,0.001977966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003933815,"about_ca_system_score_gemma":0.0001176104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0144495,"about_ca_topic_score_gemma":0.0002187225,"domain_scores_codex":[0.9922708,0.00325293,0.001459345,0.001369854,0.0001881862,0.001458898],"domain_scores_gemma":[0.9952877,0.003263367,0.0003293241,0.0004949514,0.00004484562,0.0005797746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003080756,0.00009656441,0.965745,0.00007659142,0.0001452362,0.0001807524,0.00104314,0.00002819032,0.00006369349,0.01649678,0.006061429,0.009754543],"study_design_scores_gemma":[0.001408694,0.0007879805,0.9297749,0.0003484774,0.0001149125,0.000179467,0.0008731725,0.003147502,0.00000385337,0.00846634,0.05432989,0.0005648446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477436,0.0148892,0.00300411,0.001906928,0.02120647,0.0004609679,0.0004996216,0.001022851,0.009266245],"genre_scores_gemma":[0.9906495,0.00006351874,0.0009287472,0.002832766,0.004866846,0.00007296815,0.00026118,0.00005712802,0.0002673196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04826846,"threshold_uncertainty_score":0.9998202,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4367316328","doi":"10.1016/j.gloepi.2023.100110","title":"The role of study quality in aspartame and cancer epidemiology study reviews","year":2023,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"American Beverage Association","keywords":"Aspartame; Epidemiology; Cancer; Quality (philosophy); Environmental health; Medicine; Food science; Biology; Internal medicine; Physics","authors":[{"name":"Julie E. Goodman","is_ca":false},{"name":"Elyssa G. Anneser","is_ca":false},{"name":"Alahi Khandaker","is_ca":false},{"name":"Denali N. Boon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2046914499731618,"gpt":0.5174701233177313,"spread":0.3127786733445695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01430632,0.0001948514,0.00185477,0.00005539288,0.00008506854,0.00000148013,0.0001592916,0.0001313148,0.00002948595],"category_scores_gemma":[0.01175509,0.0001168697,0.0001233155,0.0004469822,0.0002956137,0.00002371269,0.0001694512,0.0002770127,0.00003100199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001352677,"about_ca_system_score_gemma":0.00008436071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0360587,"about_ca_topic_score_gemma":0.01953477,"domain_scores_codex":[0.9929534,0.004190776,0.001663407,0.0005186851,0.00008997225,0.0005837637],"domain_scores_gemma":[0.9945548,0.00423894,0.00047213,0.000539589,0.00005253641,0.0001419742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002404019,0.0002079785,0.9427447,0.00002753217,0.00008655724,0.000005531478,0.0003768799,0.00002356323,0.00000769022,0.001399611,0.002676465,0.05220311],"study_design_scores_gemma":[0.001047292,0.0007570732,0.9410138,0.00003116612,0.00006820331,0.000003911845,0.002690538,0.000121002,5.955153e-7,0.006422294,0.04775593,0.00008819185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556947,0.03800547,0.000006218204,0.004020767,0.0003600667,0.001601855,0.00003404891,0.00003496601,0.000241854],"genre_scores_gemma":[0.9886734,0.009902185,0.0000320066,0.0008986501,0.0001144611,0.0002879991,0.000007613549,0.000007869797,0.00007581488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05211492,"threshold_uncertainty_score":0.9983562,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392660744","doi":"10.1016/j.gloepi.2024.100140","title":"Quantitative recall bias analysis of the talc and ovarian cancer association","year":2024,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Health Canada","keywords":"Recall bias; Ovarian cancer; Talc; Association (psychology); Recall; Oncology; Medicine; Internal medicine; Gynecology; Cancer; Psychology; Biology; Pathology; Cognitive psychology","authors":[{"name":"Julie E. Goodman","is_ca":false},{"name":"Leon M. Espira","is_ca":false},{"name":"Ke Zu","is_ca":false},{"name":"Denali Boon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1149343578176582,"gpt":0.4200592423642355,"spread":0.3051248845465774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002210467,0.00007476664,0.0005002316,0.00004342166,0.00003266507,0.000001416554,0.00004844437,0.0002541455,0.00006436409],"category_scores_gemma":[0.0107339,0.00004289583,0.0001738464,0.0006310114,0.0002019827,0.00002229184,0.00004150554,0.0001937286,0.000004816812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000176634,"about_ca_system_score_gemma":0.00007436193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001307686,"about_ca_topic_score_gemma":0.000440002,"domain_scores_codex":[0.9984205,0.0007396219,0.000307848,0.0003278302,0.00005051838,0.0001537248],"domain_scores_gemma":[0.9983028,0.00121447,0.0001359537,0.0002104409,0.00009942594,0.00003695378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003158484,0.00001685404,0.9732181,0.00002217764,0.002003944,0.000001192734,0.0000542922,0.00002430211,0.0002256466,0.02063187,0.001497691,0.001988104],"study_design_scores_gemma":[0.00008431288,0.000078152,0.9854154,0.00001949953,0.00121277,0.000003527639,0.00002254057,0.002162936,0.00004067759,0.006917466,0.004007884,0.00003480892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623271,0.008273064,0.0003672945,0.02663159,0.0005293044,0.0001358574,0.0001245861,0.00002132846,0.001589881],"genre_scores_gemma":[0.9978384,0.0003675443,0.0003138924,0.001143447,0.00006041851,0.000009675198,0.00001634683,0.00000199228,0.0002482733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03551132,"threshold_uncertainty_score":0.9975991,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981851145","doi":"10.1016/j.gloepi.2019.100011","title":"Prevalence and determinants of mental health problems among children in Mongolia: A population-based birth cohort","year":2019,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"Child and Adolescent Psychosocial and Emotional Development","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ottawa Hospital","funders":"Japan Society for the Promotion of Science; Canadian Institutes of Health Research","keywords":"Mental health; Strengths and Difficulties Questionnaire; Medicine; Population; Demography; Socioeconomic status; Odds ratio; Cohort; Depression (economics); Cohort study; Psychiatry; Environmental health","authors":[{"name":"Amarjargal Dagvadorj","is_ca":true},{"name":"Daniel J. Corsi","is_ca":true},{"name":"Narantuya Sumya","is_ca":false},{"name":"Katherine A. Muldoon","is_ca":true},{"name":"Shi Wu Wen","is_ca":true},{"name":"Kenji Takehara","is_ca":false},{"name":"Rintaro Mori","is_ca":false},{"name":"Mark Walker","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01825874302641243,"gpt":0.318963046304009,"spread":0.3007043032775966,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007344041,0.0001441317,0.0004956238,0.00005339351,0.00004307132,0.000002145887,0.0001123931,0.0001231801,0.0001577923],"category_scores_gemma":[0.00005787715,0.0001272786,0.0000587768,0.0001380551,0.00008311097,0.00003787618,0.00003549923,0.0001052011,0.00002881483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009118434,"about_ca_system_score_gemma":0.00004891102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00477803,"about_ca_topic_score_gemma":0.0006534761,"domain_scores_codex":[0.9981585,0.0003374083,0.0006378301,0.0004126645,0.00008474932,0.0003688181],"domain_scores_gemma":[0.9993529,0.00009340589,0.0002875596,0.0001503252,0.0000159485,0.00009987732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004929171,0.000134434,0.9945057,0.0001154269,0.00002079063,4.374259e-7,0.00009147985,0.00004362949,5.324376e-7,0.001955628,0.0004818527,0.002600771],"study_design_scores_gemma":[0.0007870814,0.0001051554,0.9969976,0.00028304,0.000003183261,0.000008895143,0.00001179682,0.0001256466,2.508122e-7,0.001490041,0.00007392339,0.0001133633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960479,0.0009864266,0.00001394097,0.001029068,0.0004640647,0.0007612598,0.0001290972,0.00001812591,0.0005500789],"genre_scores_gemma":[0.9981467,0.0001701054,0.0001294369,0.001245703,0.00003375334,0.00001539055,0.00007462734,0.000005659987,0.0001786355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004124554,"threshold_uncertainty_score":0.7222984,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2972609593","doi":"10.1016/j.gloepi.2019.100009","title":"Decomposing the effects of physical activity and cardiorespiratory fitness on mortality","year":2019,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"Physical Activity and Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Jewish General Hospital","funders":"Sixth Framework Programme; National Institutes of Health; Ministerio de Educación, Cultura y Deporte","keywords":"Cardiorespiratory fitness; Mediation; Longitudinal study; Physical activity; Interaction; Medicine; Causal model; Internal medicine; Physical fitness; Demography; Psychology; Gerontology; Physical therapy; Biology","authors":[{"name":"Julian Wolfson","is_ca":false},{"name":"Steven D. Stovitz","is_ca":false},{"name":"Steven N. Blair","is_ca":false},{"name":"Xuemei Sui","is_ca":false},{"name":"Duck-chul Lee","is_ca":false},{"name":"Ian Shrier","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05426482490695693,"gpt":0.4034498749401819,"spread":0.349185050033225,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004992806,0.0001165416,0.0008559215,0.00001112917,0.0000470534,0.000001164095,0.00006146591,0.00009180565,0.000002107621],"category_scores_gemma":[0.001016509,0.00007111561,0.0001347236,0.00008365792,0.0002348199,0.00003659284,0.00005724401,0.0002521242,0.00001699431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006738016,"about_ca_system_score_gemma":0.00006070285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004145457,"about_ca_topic_score_gemma":0.00001040732,"domain_scores_codex":[0.9986374,0.0006204913,0.0001367426,0.0002574205,0.00009625355,0.0002516949],"domain_scores_gemma":[0.9960785,0.003352826,0.000116755,0.000316886,0.00002522596,0.000109818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000717993,0.001250387,0.8868891,0.001229848,0.0002594305,0.00001186437,0.00009445569,0.00009477377,0.01872082,0.0438058,0.0003524332,0.04657309],"study_design_scores_gemma":[0.0005540985,0.001167943,0.9906077,0.00008004226,0.0000690357,0.000008257208,0.000004463953,0.0008413662,0.002060114,0.004287406,0.0002589287,0.00006058882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964228,0.0001376226,0.00009361417,0.000977162,0.0001702041,0.000362837,0.00001073227,0.00001941723,0.001805577],"genre_scores_gemma":[0.9982951,0.00001583548,0.00001998297,0.001491995,0.0001586602,0.000007267093,0.000001475172,0.00000404094,0.000005686109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1037187,"threshold_uncertainty_score":0.290001,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4395958753","doi":"10.1016/j.gloepi.2024.100144","title":"Does recall bias explain the association of mood disorders with workplace harassment?","year":2024,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"Workplace Violence and Bullying","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Harassment; Association (psychology); Recall; Psychology; Mood; Recall bias; Clinical psychology; Mood disorders; Social psychology; Cognitive psychology; Psychiatry; Psychotherapist; Anxiety","authors":[{"name":"Igor Burstyn","is_ca":false},{"name":"Jean‐Michel Galarneau","is_ca":true},{"name":"Nicola Cherry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03073759548159395,"gpt":0.342524221298964,"spread":0.3117866258173701,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00576791,0.0001204022,0.0002902531,0.0000301625,0.0002807703,0.00003126295,0.0002934685,0.0002056868,0.00009692206],"category_scores_gemma":[0.002900331,0.00005703287,0.0001023887,0.000586433,0.0003098897,0.0001339807,0.00004441615,0.0002062431,0.00005699263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003220789,"about_ca_system_score_gemma":0.0001838935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003526927,"about_ca_topic_score_gemma":0.03294562,"domain_scores_codex":[0.9970699,0.001559509,0.0003362347,0.0002928543,0.0002330295,0.000508449],"domain_scores_gemma":[0.9955401,0.003975679,0.000204194,0.0001648064,0.0000478868,0.00006729445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003452335,0.00001922647,0.9063596,0.00001417491,0.00007633797,7.790268e-7,0.0009569055,0.0001910968,0.00000341141,0.07329825,0.01130426,0.007741492],"study_design_scores_gemma":[0.0005143848,0.0003008837,0.1831535,0.0007375882,0.0001940124,0.000002841227,0.02015748,0.0007833046,0.00001831501,0.1482641,0.6453419,0.000531711],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5821105,0.00205624,0.003898226,0.2991368,0.003336205,0.0008521692,0.00007208197,0.0003692015,0.1081685],"genre_scores_gemma":[0.9950412,0.001759255,0.0004861543,0.0005525321,0.0002574582,0.00003448623,0.000006460633,0.000006467188,0.001855999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.723206,"threshold_uncertainty_score":0.9847006,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412675842","doi":"10.1016/j.gloepi.2025.100214","title":"Mathematical modelling and time series clustering of Mpox outbreak: A comparative study of the top 10 affected countries and implications for future outbreak management","year":2025,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"Poxvirus research and outbreaks","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Outbreak; Series (stratigraphy); Cluster analysis; Time series; Computer science; Econometrics; Geography; Operations research; Statistics; Mathematics; Biology; Virology; Artificial intelligence","authors":[{"name":"Mark-Daniels Tamakloe","is_ca":false},{"name":"Ametus Kuuwill","is_ca":false},{"name":"Ibrahim Osumanu","is_ca":false},{"name":"Helina Siripi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03503177248055746,"gpt":0.3431075992087917,"spread":0.3080758267282342,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006506083,0.0001565514,0.0006777536,0.00005291967,0.0001874866,0.000004782082,0.0002104638,0.0001831908,0.00002568062],"category_scores_gemma":[0.0001821583,0.0001059847,0.00006347448,0.0001363274,0.0005479081,0.00004373852,0.0003795512,0.0001220712,0.000005331531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002836547,"about_ca_system_score_gemma":0.00003550031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009756012,"about_ca_topic_score_gemma":0.00009195266,"domain_scores_codex":[0.9984326,0.000476264,0.0004755937,0.0002797895,0.0000236581,0.0003121353],"domain_scores_gemma":[0.9985573,0.0008219574,0.0001694607,0.0003020139,0.0001252232,0.00002406433],"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":[0.005241388,0.001421379,0.1407515,0.001765231,0.005124896,0.000001597995,0.00463435,0.002381288,0.003274111,0.8120596,0.01425427,0.00909041],"study_design_scores_gemma":[0.0105203,0.002146363,0.7811478,0.0004298083,0.001045823,0.000101845,0.01044482,0.005919757,0.001131781,0.1566432,0.02979653,0.0006720218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629647,0.004657479,0.02257335,0.003650302,0.0001893548,0.002349717,0.0007040086,0.00004095535,0.002870138],"genre_scores_gemma":[0.9972169,0.0001422834,0.00147129,0.0001689347,0.00001277792,0.0001237648,0.00002983274,0.000004554629,0.0008296074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6554164,"threshold_uncertainty_score":0.432193,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402701117","doi":"10.1016/j.gloepi.2024.100164","title":"A note on handling conditional missing values","year":2024,"lang":"en","type":"article","venue":"Global Epidemiology","topic":"Statistical Methods in Epidemiology","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Missing data; Econometrics; Statistics; Computer science; Mathematics","authors":[{"name":"Mohammad Alì Mansournia","is_ca":false},{"name":"Maryam Nazemipour","is_ca":false},{"name":"Mahyar Etminan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2610414162863715,"gpt":0.537729508804665,"spread":0.2766880925182935,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006257392,0.0002927648,0.0009647234,0.00008229652,0.0001384456,0.00001414474,0.000246555,0.0003990872,0.0003787357],"category_scores_gemma":[0.1884867,0.0002375669,0.0002288288,0.0002245376,0.000477112,0.0000506253,0.00009579624,0.0005000841,0.0005260323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002985512,"about_ca_system_score_gemma":0.0001063108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005109412,"about_ca_topic_score_gemma":0.000006263014,"domain_scores_codex":[0.9944264,0.002958001,0.0009953512,0.0007325855,0.0001415775,0.0007460646],"domain_scores_gemma":[0.884299,0.1149524,0.0001454604,0.0003520784,0.00005697473,0.0001940567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003758136,0.00003009464,0.0007657187,0.00009791851,0.00007049632,0.00007406496,0.00002666812,0.0001049892,0.00003024856,0.9133757,0.04799532,0.03739113],"study_design_scores_gemma":[0.0001498118,0.0001403762,0.002071072,0.0001742254,0.00006548457,0.0001901189,0.000009077425,0.03301935,0.00002496308,0.9519743,0.01197463,0.0002065482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002144313,0.001110796,0.9693147,0.009618678,0.00205874,0.000174677,0.0002459235,0.0004476497,0.01488455],"genre_scores_gemma":[0.07664996,0.00004064746,0.9146601,0.007445517,0.0009143328,0.00003942468,0.00004348008,0.00003333445,0.0001731953],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1822293,"threshold_uncertainty_score":0.9687696,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"split"}]}