{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2102093,0.00188244,0.00480802,0.01243904,0.001809225,0.007102835,0.003635251,0.00582307,0.006133649],"category_scores_gemma":[0.6930296,0.000903227,0.003562497,0.01243027,0.02290451,0.01144301,0.006339375,0.007771059,0.001054637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00278941,"about_ca_system_score_gemma":0.002863691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004223607,"about_ca_topic_score_gemma":0.0002447435,"domain_scores_codex":[0.6471356,0.262536,0.02367526,0.02372847,0.04179224,0.001132365],"domain_scores_gemma":[0.1600507,0.7814336,0.02072078,0.02581569,0.01026402,0.001715263],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002773589,0.0001898842,0.03466274,0.00919826,0.00796194,0.00144474,0.004521193,0.01547401,0.002209245,0.673317,0.01289104,0.2353563],"study_design_scores_gemma":[0.0002440709,0.0008643548,0.005886425,0.001283109,0.0008628751,0.0008790157,0.0008844234,0.01764045,0.001830666,0.9540763,0.01532325,0.0002250561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06840345,0.01826666,0.8517801,0.02222257,0.004953988,0.001234099,0.002744747,0.001358227,0.02903624],"genre_scores_gemma":[0.7061815,0.002191826,0.280945,0.0035203,0.002124334,0.003141262,0.0006745608,0.0003557561,0.0008655092],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7897907,"threshold_uncertainty_score":0.9739525,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00721726,0.001461536,0.006455661,0.009785793,0.0006187161,0.002536203,0.001966768,0.00181607,0.00773746],"category_scores_gemma":[0.03454964,0.0009267062,0.006319623,0.01025166,0.000817264,0.002384611,0.001580436,0.001252498,0.0005709844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003744601,"about_ca_system_score_gemma":0.01230568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008732055,"about_ca_topic_score_gemma":0.01870486,"domain_scores_codex":[0.9948837,0.00174757,0.001784238,0.000373851,0.001021442,0.0001891663],"domain_scores_gemma":[0.9720371,0.02198809,0.003537511,0.0003209679,0.001826612,0.0002897992],"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":[0.0001278776,0.00001450536,0.0002819127,0.9437446,0.003323126,0.00004259042,0.000100993,0.00008755762,0.00007071534,0.0002665183,0.002121701,0.04981791],"study_design_scores_gemma":[0.0001516032,0.000126205,0.001792285,0.9425015,0.02649565,0.0001994737,0.0001541597,0.00007574937,0.0001284896,0.0003867492,0.02796224,0.00002585652],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000325185,0.9985641,0.0001316418,0.0002122602,0.00006937448,0.0001833897,0.000247567,0.000009256221,0.0002571645],"genre_scores_gemma":[0.003903494,0.9949896,0.0003252001,0.0002602479,0.00003836421,0.0002478791,0.0001559116,0.000004206071,0.00007503858],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009785793,"threshold_uncertainty_score":0.03816897,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03138447,0.002373895,0.002057693,0.005219792,0.00098107,0.002944492,0.003856159,0.004325281,0.06002318],"category_scores_gemma":[0.1353597,0.00197656,0.002145914,0.003748559,0.002674738,0.005330003,0.002623973,0.009040941,0.02537321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409449,"about_ca_system_score_gemma":0.004957404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002291716,"about_ca_topic_score_gemma":0.004389977,"domain_scores_codex":[0.9837716,0.01171301,0.001725479,0.0006806615,0.001930849,0.0001784158],"domain_scores_gemma":[0.8737658,0.1133677,0.002945049,0.002825015,0.005947346,0.001149002],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001041287,0.0001795708,0.0006783642,0.002532731,0.0001669069,0.0006495339,0.0009471541,0.00521136,0.0007367778,0.2061129,0.5470331,0.2356474],"study_design_scores_gemma":[0.0001210398,0.0001323296,0.0005820206,0.00169733,0.0000557342,0.001278438,0.0002521716,0.009695063,0.0003918663,0.4026579,0.5830399,0.00009624966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002514356,0.005443612,0.9632773,0.0137851,0.001895164,0.0009442593,0.002031998,0.002384541,0.009986638],"genre_scores_gemma":[0.003566189,0.00734975,0.9635091,0.007146205,0.001881269,0.003448662,0.001127224,0.001099385,0.01087224],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9686155,"threshold_uncertainty_score":0.2007976,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007225034,0.0004756656,0.0002561007,0.0009527172,0.000305295,0.0006701272,0.0005998122,0.0003659947,0.002120798],"category_scores_gemma":[0.004763889,0.0001380076,0.0003987782,0.0005892043,0.000347582,0.0006645962,0.00034995,0.0003248227,0.0001583909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182096,"about_ca_system_score_gemma":0.001405524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02426705,"about_ca_topic_score_gemma":0.01983331,"domain_scores_codex":[0.9997724,0.00007454452,0.00002272688,0.00005539653,0.0000442296,0.00003076994],"domain_scores_gemma":[0.9986406,0.0008847586,0.0001563966,0.00009010769,0.0001677987,0.00006029006],"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":[0.0002707893,0.0001077153,0.05447387,0.0001594685,0.0000653461,0.0005846215,0.0002929529,0.8586456,0.0006548575,0.0177432,0.004059288,0.06294243],"study_design_scores_gemma":[0.00003726848,0.00005749169,0.006346393,0.00005559568,0.00003477032,0.00008946145,0.0002688889,0.971599,0.0007376834,0.01914873,0.001609262,0.00001555813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.809478,0.0005450738,0.1625233,0.003868622,0.0001327935,0.0002072686,0.00400906,0.0008377609,0.0183981],"genre_scores_gemma":[0.965394,0.0001583884,0.0324561,0.00006723204,0.00001969729,0.00004624229,0.0009947871,0.00000824742,0.0008552479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02426705,"threshold_uncertainty_score":0.04825157,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07547858,0.002560788,0.001287792,0.00590908,0.007808445,0.01556853,0.00464578,0.006842293,0.01853235],"category_scores_gemma":[0.1148341,0.001174375,0.001391579,0.003451681,0.01152214,0.02085532,0.02253132,0.01548405,0.005043301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01020568,"about_ca_system_score_gemma":0.0244689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002305076,"about_ca_topic_score_gemma":0.003175898,"domain_scores_codex":[0.9342622,0.04851119,0.004506741,0.002062436,0.009156642,0.001500801],"domain_scores_gemma":[0.846506,0.09832598,0.00665918,0.006658453,0.02958027,0.01227016],"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":[0.0001879587,0.0003973738,0.0008810639,0.002826351,0.00005483952,0.00172132,0.05220029,0.003048797,0.004492371,0.5249028,0.2164625,0.1928243],"study_design_scores_gemma":[0.00003343293,0.0001607037,0.0003984086,0.002225528,0.00001785607,0.0006560365,0.02438845,0.002086403,0.0007923649,0.1442287,0.824907,0.0001052395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.008156897,0.006965036,0.3875382,0.5195209,0.01686578,0.002420151,0.0006453848,0.001744522,0.05614312],"genre_scores_gemma":[0.1149916,0.008078814,0.7990636,0.03762828,0.004741276,0.005044722,0.0009117006,0.0008385688,0.0287015],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07547858,"threshold_uncertainty_score":0.3991736,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02234271,0.004298592,0.02621242,0.00951598,0.0008233226,0.003910692,0.002744072,0.003436456,0.00476448],"category_scores_gemma":[0.0491843,0.001994453,0.04928056,0.008884161,0.0009332324,0.002511719,0.002044342,0.002147976,0.0003605084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004229751,"about_ca_system_score_gemma":0.007862924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008499566,"about_ca_topic_score_gemma":0.01453818,"domain_scores_codex":[0.9841067,0.00778617,0.003895739,0.001522074,0.002057463,0.0006318788],"domain_scores_gemma":[0.9759923,0.01716823,0.00380608,0.0007044932,0.002045081,0.0002838432],"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":[0.001219589,0.00003772277,0.003799859,0.5164931,0.4657961,0.0001459637,0.00008471579,0.0005137392,0.0001591768,0.0001625934,0.0005867115,0.01100086],"study_design_scores_gemma":[0.0005100086,0.0002217296,0.003210342,0.05610831,0.9377366,0.0001185619,0.0000472594,0.0001960876,0.00008866531,0.0001773711,0.001558314,0.00002684186],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002359145,0.9957417,0.0005538277,0.0002058017,0.0001442415,0.0004600496,0.0003610424,0.00002135445,0.0001527722],"genre_scores_gemma":[0.09239051,0.899408,0.003617401,0.0007888509,0.0003216922,0.002367978,0.0007920623,0.00002701326,0.0002863977],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02621242,"threshold_uncertainty_score":0.118161,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005284659,0.0009974698,0.005580023,0.014324,0.0004567763,0.001953147,0.001214354,0.001205054,0.002669954],"category_scores_gemma":[0.02567085,0.000951454,0.005684869,0.01985822,0.0005028314,0.002208826,0.001037213,0.0008572277,0.0001930391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002103663,"about_ca_system_score_gemma":0.007683731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01532605,"about_ca_topic_score_gemma":0.03297187,"domain_scores_codex":[0.9952552,0.001241908,0.002174806,0.0004780111,0.0006286157,0.0002213934],"domain_scores_gemma":[0.9778437,0.01299969,0.006051256,0.0002816414,0.002559564,0.0002641341],"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":[0.0002460428,0.00001872412,0.01520589,0.9268498,0.0178942,0.0002627463,0.0004198752,0.0001417575,0.0001565123,0.0002125746,0.002755067,0.0358368],"study_design_scores_gemma":[0.0002756546,0.0002000181,0.06464955,0.8283025,0.08449766,0.00121337,0.0009777502,0.0001455045,0.0001888125,0.0002695697,0.01921336,0.00006611439],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003583841,0.9941346,0.00007232364,0.0002735864,0.00006324505,0.0001151818,0.001563042,0.000004738175,0.0001893396],"genre_scores_gemma":[0.02916603,0.9688777,0.0003952356,0.000364904,0.00006523608,0.0002865093,0.0007780826,0.000004345944,0.00006193262],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01532605,"threshold_uncertainty_score":0.03047371,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0364736,0.001644039,0.001395335,0.003395804,0.0006518877,0.002286506,0.002137428,0.00134212,0.0008803907],"category_scores_gemma":[0.07749812,0.0005908,0.001502022,0.002555837,0.0008376185,0.002115794,0.002089255,0.002508735,0.0002578104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002133338,"about_ca_system_score_gemma":0.002530101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03064415,"about_ca_topic_score_gemma":0.01982936,"domain_scores_codex":[0.9883101,0.008705758,0.0006879256,0.001092033,0.001007894,0.0001962949],"domain_scores_gemma":[0.9071896,0.08327615,0.002295656,0.002771061,0.003766997,0.000700617],"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":[0.001376649,0.0008274781,0.1350819,0.0006080529,0.002019204,0.0002866284,0.0004832901,0.6293391,0.0007743516,0.007350719,0.003182568,0.2186701],"study_design_scores_gemma":[0.00005136864,0.000101518,0.003758544,0.00003589794,0.0000549659,0.00003194763,0.00008584435,0.992102,0.0001735328,0.003264685,0.000324308,0.00001544296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4421962,0.004498903,0.5419835,0.004439625,0.0002528944,0.0008747744,0.001540786,0.001641931,0.002571274],"genre_scores_gemma":[0.7885621,0.001541035,0.2068518,0.0005819642,0.0002368177,0.0004623471,0.001242331,0.00009119335,0.0004303967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0364736,"threshold_uncertainty_score":0.1928931,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003430861,0.002203864,0.0008143752,0.001844255,0.0003205494,0.001224868,0.00118818,0.00161726,0.005722173],"category_scores_gemma":[0.008611199,0.0007925754,0.001414604,0.001113589,0.0004781678,0.002360038,0.001026359,0.004067805,0.00284499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006938782,"about_ca_system_score_gemma":0.0005000951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002804149,"about_ca_topic_score_gemma":0.00245427,"domain_scores_codex":[0.9993938,0.0003084414,0.00006646853,0.00009125323,0.0001109516,0.0000290323],"domain_scores_gemma":[0.9954685,0.003775766,0.0001141835,0.0001252152,0.0004131098,0.0001032749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001728359,0.0004847228,0.007788489,0.001016291,0.0002847103,0.0005863057,0.000374283,0.05500358,0.003492968,0.0353401,0.1439447,0.751511],"study_design_scores_gemma":[0.0001009236,0.0007490403,0.01389304,0.001648682,0.0001300292,0.001679749,0.0002983916,0.4644057,0.003720152,0.2149652,0.2980726,0.000336507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00779828,0.0576595,0.9009521,0.01797754,0.002483221,0.0002414826,0.001138692,0.003553699,0.008195628],"genre_scores_gemma":[0.05210492,0.05684445,0.8606523,0.004242002,0.008145243,0.0007118348,0.001889931,0.0005717882,0.01483755],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005722173,"threshold_uncertainty_score":0.01914257,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6403238,0.00243254,0.01233491,0.02088591,0.00352493,0.01626814,0.00932374,0.008318464,0.005408619],"category_scores_gemma":[0.8902525,0.003942642,0.01044395,0.02727986,0.01077215,0.01376701,0.009013998,0.007088329,0.0007655242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01639092,"about_ca_system_score_gemma":0.02398018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327146,"about_ca_topic_score_gemma":0.0166446,"domain_scores_codex":[0.09829044,0.4904755,0.3119794,0.02164711,0.07587438,0.001733219],"domain_scores_gemma":[0.02852752,0.8354288,0.07976573,0.02336382,0.03150522,0.00140891],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.002258243,0.0001181721,0.02908962,0.6788646,0.04810368,0.000521301,0.008311192,0.001430142,0.0005328407,0.02156934,0.02092246,0.1882785],"study_design_scores_gemma":[0.0009466011,0.0005315372,0.02243888,0.8393364,0.03175604,0.0007435643,0.002279046,0.001788406,0.0008652429,0.02221822,0.07679994,0.0002961194],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005770109,0.9153283,0.02511888,0.0307929,0.009092701,0.005796755,0.003733812,0.0002275684,0.004138941],"genre_scores_gemma":[0.3715892,0.4131076,0.1083323,0.04527355,0.01130221,0.04232427,0.004976104,0.0009874224,0.002107527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9876651,"threshold_uncertainty_score":0.4435448,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07520849,0.0006195655,0.001708461,0.00208835,0.0007757299,0.002073535,0.00261185,0.001749354,0.004453011],"category_scores_gemma":[0.2071636,0.0006013918,0.004692939,0.003783491,0.00101847,0.001104099,0.001675295,0.001440064,0.0003025615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196219,"about_ca_system_score_gemma":0.001581602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01872563,"about_ca_topic_score_gemma":0.007257073,"domain_scores_codex":[0.8969113,0.08286486,0.006298551,0.007784348,0.004588267,0.001552606],"domain_scores_gemma":[0.721491,0.2228293,0.02362897,0.02467535,0.006437202,0.0009381897],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00292499,0.0001017935,0.9417983,0.0009965611,0.02391367,0.0001553961,0.0005643319,0.002536786,0.0001972092,0.004949391,0.003221333,0.01864015],"study_design_scores_gemma":[0.001467443,0.001699766,0.9084992,0.0009450089,0.02787516,0.001517441,0.0009545709,0.02879719,0.001362253,0.0146214,0.01209804,0.0001624368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8830627,0.03000324,0.05815237,0.003779952,0.0004931448,0.0006060792,0.01892965,0.0002588331,0.004713972],"genre_scores_gemma":[0.9913368,0.0005481998,0.003713354,0.0006307112,0.0001355445,0.0002389462,0.002228484,0.00002755937,0.001140394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9247915,"threshold_uncertainty_score":0.3977453,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000666166,0.0002118827,0.0001979304,0.0004762194,0.0005880455,0.0004430774,0.0003205063,0.0002798423,0.000702864],"category_scores_gemma":[0.0005716305,0.0003510313,0.0003653477,0.0005532802,0.0002309733,0.000290411,0.0004392322,0.0004298173,0.00009415254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007697832,"about_ca_system_score_gemma":0.0006059415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09497245,"about_ca_topic_score_gemma":0.09400159,"domain_scores_codex":[0.9997725,0.00004972726,0.0000196761,0.00006270189,0.00003487746,0.0000605558],"domain_scores_gemma":[0.9996613,0.00003598354,0.0001017912,0.000040656,0.00007565985,0.00008462244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001860439,0.00001902463,0.9984035,0.00001284718,0.00003978516,0.00006239577,0.0004369893,0.0000199114,0.0001932241,0.00001538045,0.0001222156,0.0006560333],"study_design_scores_gemma":[0.000001853371,0.00002281067,0.999265,0.00001072919,0.00001568356,0.00008113156,0.0004100841,0.00004063418,0.00001643417,0.000004498782,0.0001292883,0.000001850909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991924,0.0002110599,0.00004102163,0.00003732694,0.000003723316,0.000007931758,0.0003936159,0.000001553008,0.0001114045],"genre_scores_gemma":[0.9992363,0.0001621034,0.00007310672,0.00002544712,0.000002296356,0.000009335812,0.0003646235,8.82155e-7,0.0001259592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09497245,"threshold_uncertainty_score":0.1888393,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01055087,0.001136554,0.001215349,0.002172236,0.000462795,0.0009746565,0.0009352521,0.0005504516,0.001626886],"category_scores_gemma":[0.01775214,0.0004999228,0.003960345,0.001659467,0.0005103472,0.000803041,0.00181756,0.001389666,0.0001886183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000521827,"about_ca_system_score_gemma":0.001592266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01317222,"about_ca_topic_score_gemma":0.01283128,"domain_scores_codex":[0.9942022,0.003686536,0.0004172543,0.0006632847,0.0004508059,0.0005798186],"domain_scores_gemma":[0.9913591,0.005150728,0.0009079427,0.00171772,0.0005107122,0.0003537401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004254394,0.00008358931,0.9793061,0.00005257868,0.002234888,0.00009865331,0.0002426909,0.001488021,0.0008971225,0.0005190948,0.0002549258,0.01439676],"study_design_scores_gemma":[0.0000243343,0.0002091325,0.9885564,0.00002952971,0.0007483915,0.000110994,0.0002123922,0.007558587,0.0004498295,0.001435418,0.0006444497,0.00002049892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843566,0.001244463,0.0123282,0.0003116237,0.0000653671,0.00008397522,0.0008968426,0.00006162666,0.0006512136],"genre_scores_gemma":[0.9958329,0.0001729388,0.002796775,0.00004842754,0.00003022987,0.00007024247,0.0007858138,0.00001572732,0.0002469297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01317222,"threshold_uncertainty_score":0.05579901,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05800515,0.0007717012,0.001320846,0.002442212,0.0006401196,0.00183443,0.001625571,0.001761702,0.001653639],"category_scores_gemma":[0.2163631,0.0008725662,0.003796199,0.001926991,0.002370016,0.001927602,0.002071888,0.001256952,0.0002007127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00068824,"about_ca_system_score_gemma":0.001021946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004918952,"about_ca_topic_score_gemma":0.002846191,"domain_scores_codex":[0.9602103,0.02757657,0.00387557,0.003716567,0.003573881,0.001047188],"domain_scores_gemma":[0.761563,0.169498,0.03751205,0.02616314,0.004686167,0.0005776575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007743551,0.00005792204,0.955312,0.0005879164,0.003401716,0.0001635029,0.001263566,0.001503919,0.0002259267,0.002448448,0.00035993,0.03390085],"study_design_scores_gemma":[0.0001662955,0.0007949098,0.9486172,0.0009135912,0.005123456,0.001988889,0.0008013871,0.01800525,0.00143057,0.01909976,0.002952024,0.0001064912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8319171,0.02485105,0.132308,0.004744261,0.0004733533,0.0006655907,0.00117179,0.0001914826,0.003677273],"genre_scores_gemma":[0.9928315,0.001100824,0.00482649,0.0004608896,0.0001992728,0.0001030611,0.0002064464,0.00002070496,0.0002507956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05800515,"threshold_uncertainty_score":0.3067642,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003357968,0.0007058716,0.0007494261,0.001673902,0.0004538614,0.001717538,0.001187672,0.001097303,0.001533789],"category_scores_gemma":[0.01299983,0.0003271483,0.001467345,0.001096862,0.0007607786,0.001498971,0.001001203,0.001121947,0.0002333803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639412,"about_ca_system_score_gemma":0.001068812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01805886,"about_ca_topic_score_gemma":0.007725267,"domain_scores_codex":[0.9990759,0.0005397409,0.00005164978,0.0001446537,0.00008478665,0.0001032407],"domain_scores_gemma":[0.9930936,0.004539618,0.001310179,0.0003123973,0.0005388684,0.0002053599],"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":[0.00009543404,0.0001036454,0.0654938,0.0001220964,0.0002451502,0.0004263634,0.0005547497,0.8866636,0.0005807214,0.03201667,0.001641273,0.01205646],"study_design_scores_gemma":[0.000004729098,0.00004281115,0.009857317,0.00002419803,0.00002382272,0.00008127538,0.0003658939,0.9814535,0.00008104147,0.007409621,0.0006348773,0.00002086457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8173062,0.001491292,0.1708084,0.003190132,0.00007807696,0.0001805026,0.0006772426,0.0001835708,0.006084628],"genre_scores_gemma":[0.9808745,0.001078967,0.01582451,0.00009492998,0.00004850441,0.00007727231,0.0004986067,0.00004452399,0.001458261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01805886,"threshold_uncertainty_score":0.03590751,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1276221,0.002622133,0.003361954,0.002746825,0.004035426,0.005268441,0.008963749,0.008649112,0.006154856],"category_scores_gemma":[0.3619152,0.001435915,0.005363207,0.005555628,0.01069834,0.0163104,0.009337083,0.02895036,0.003315738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536234,"about_ca_system_score_gemma":0.007213222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005756894,"about_ca_topic_score_gemma":0.005591508,"domain_scores_codex":[0.8803793,0.09187902,0.006290184,0.00528058,0.0147953,0.001375577],"domain_scores_gemma":[0.5854753,0.3389842,0.009604814,0.04741328,0.0164263,0.002096136],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007599319,0.0002073332,0.006491496,0.001624812,0.0007423476,0.002835233,0.002788814,0.02206723,0.003123821,0.5373755,0.1026481,0.3193353],"study_design_scores_gemma":[0.0001702513,0.000183476,0.001756564,0.00101234,0.0001997365,0.002023269,0.0003604239,0.03888495,0.00304436,0.8625762,0.08948523,0.000303312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009873315,0.001403419,0.9750258,0.01718738,0.002413884,0.0001517702,0.0002281258,0.0006706403,0.001931657],"genre_scores_gemma":[0.02153848,0.002893825,0.955948,0.01133278,0.005123217,0.0005379476,0.0002660678,0.000516613,0.001843051],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8723779,"threshold_uncertainty_score":0.6749381,"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"}]}