{"id":"W4310572158","doi":"10.1097/ede.0000000000001579","title":"Pandemic and Gender Influences on Submissions to Epidemiology","year":2022,"lang":"en","type":"article","venue":"Epidemiology","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Public Health Ontario; University of Toronto","funders":"","keywords":"Epidemiology; Pandemic; Coronavirus disease 2019 (COVID-19); Environmental health; Medicine; Pathology; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0417866,0.0006191912,0.0006099606,0.003658922,0.001477895,0.00349911,0.001442907,0.0009024441,0.01115223],"category_scores_gemma":[0.1960126,0.0004320864,0.0009538484,0.004872992,0.001860596,0.003330245,0.003719185,0.001303762,0.001589554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369996,"about_ca_system_score_gemma":0.003854258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003279512,"about_ca_topic_score_gemma":0.005962295,"domain_scores_codex":[0.9633653,0.01990506,0.006459338,0.002641558,0.005242158,0.002386678],"domain_scores_gemma":[0.8148333,0.09140215,0.05460416,0.01115338,0.02264605,0.005361021],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00129228,0.0001437696,0.9081199,0.001687372,0.0002439352,0.0009513025,0.02493755,0.0003526933,0.0005490081,0.003669052,0.009583884,0.04846918],"study_design_scores_gemma":[0.00006546428,0.0005206796,0.9001539,0.004265353,0.0001699356,0.001617044,0.0350605,0.0006638764,0.001298313,0.006781675,0.04926038,0.000142792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174947,0.01220181,0.00643885,0.009072586,0.003256182,0.001583681,0.01866672,0.0001057683,0.03117978],"genre_scores_gemma":[0.9833007,0.003439771,0.0041292,0.001345328,0.0007978696,0.0008585521,0.002978261,0.000092836,0.003057516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9582134,"threshold_uncertainty_score":0.2209913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2935847317647614,"score_gpt":0.4465182176237146,"score_spread":0.1529334858589532,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}