{"id":"W4399757527","doi":"10.1093/aje/kwae123","title":"Three things we learned along the way: lessons for training in psychiatric epidemiology","year":2024,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences North","funders":"","keywords":"Epidemiology; Psychiatric epidemiology; Training (meteorology); Psychiatry; Medicine; Psychology; Medical education; Pathology; Geography","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":[0.07532008,0.001158995,0.002074259,0.003673045,0.007939413,0.01649738,0.005032239,0.01680407,0.01347279],"category_scores_gemma":[0.1317818,0.001252042,0.00224702,0.002326328,0.02106568,0.03372653,0.01678455,0.04694328,0.004971955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007347607,"about_ca_system_score_gemma":0.04883084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01147665,"about_ca_topic_score_gemma":0.02676644,"domain_scores_codex":[0.9600558,0.02841575,0.002155157,0.001917269,0.003502381,0.003953814],"domain_scores_gemma":[0.7962229,0.103612,0.005068596,0.008374214,0.02652249,0.06019989],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001068545,0.0006035867,0.00434792,0.002591556,0.0001037092,0.001086901,0.02500474,0.0004316761,0.0002536193,0.04110911,0.6964183,0.2279421],"study_design_scores_gemma":[0.0002606178,0.0003492921,0.006059243,0.01493839,0.00007797746,0.001449399,0.08112426,0.0006616267,0.0003163329,0.2739183,0.6205338,0.000310799],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0007253066,0.01324523,0.00212335,0.9745262,0.00725162,0.00003882767,0.00003490598,0.00006429802,0.001990345],"genre_scores_gemma":[0.05959783,0.0698394,0.03735219,0.7993174,0.02386893,0.0008715405,0.0001821056,0.0002619446,0.008708671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9246799,"threshold_uncertainty_score":0.3983354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2521108543543581,"score_gpt":0.521172098863132,"score_spread":0.2690612445087738,"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."}}