{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01447354,0.0001031898,0.0004270567,0.0001323745,0.001260713,0.000003259745,0.000473856,0.0001198625,0.001468451],"category_scores_gemma":[0.01884996,0.00009299135,0.00005827208,0.0002409976,0.0005697153,0.00004165755,0.0003380143,0.0004255962,0.00007580026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180405,"about_ca_system_score_gemma":0.0001076585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455224,"about_ca_topic_score_gemma":0.0001956068,"domain_scores_codex":[0.9941865,0.004297017,0.0003211667,0.0004029628,0.0002053327,0.0005869843],"domain_scores_gemma":[0.991007,0.008283298,0.0001102697,0.0001848047,0.00003229888,0.000382305],"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":[0.00004317378,0.00002314402,0.7170435,0.000003675457,0.00001996982,0.000008114239,0.006889025,0.0004907249,0.00001490929,0.1779974,0.09036917,0.007097188],"study_design_scores_gemma":[0.0001948863,0.0002989932,0.2130985,0.000004925761,0.00001875009,0.000009107658,0.01311214,0.00002049386,4.635733e-7,0.09877758,0.6743177,0.0001465318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8683647,0.001367585,0.0003787086,0.09315332,0.001446585,0.0003122725,0.00002540761,0.0001367777,0.03481466],"genre_scores_gemma":[0.9040389,0.000365767,0.0005420072,0.09282157,0.000314363,0.00004678207,0.000009147766,0.000005661423,0.001855778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5839484,"threshold_uncertainty_score":0.9994444,"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."}}