{"id":"W2789406080","doi":"10.1503/cmaj.68615","title":"Insurance helps to brush physician depression under the rug","year":2018,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depression (economics); Medicine; Family medicine; Medical care; Psychiatry; Medical emergency","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001895287,0.0004794028,0.0005524002,0.0006688152,0.007351217,0.002812647,0.001066448,0.02727682,0.01192794],"category_scores_gemma":[0.0224335,0.0004424592,0.0005434241,0.0004545574,0.003349515,0.004770436,0.002264218,0.03151536,0.005166591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003431779,"about_ca_system_score_gemma":0.005202444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02303446,"about_ca_topic_score_gemma":0.04385472,"domain_scores_codex":[0.9980693,0.0005507892,0.0001222278,0.0001856813,0.0006311812,0.0004408112],"domain_scores_gemma":[0.9947296,0.00189574,0.0003684224,0.0002008604,0.001048281,0.001757011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001364646,0.00003473969,0.001074507,0.00001721219,0.000005901139,0.00193967,0.0006535645,0.00002290969,0.0001422812,0.004778599,0.9802301,0.01108691],"study_design_scores_gemma":[0.00004009461,0.00006833807,0.002216547,0.0004083329,0.00001159329,0.00411755,0.002248238,0.000230364,0.0001405379,0.01021301,0.9802759,0.00002953773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006083234,0.0009431566,0.00005843565,0.989069,0.00292861,0.00000469409,0.000005941356,0.00001329045,0.006368451],"genre_scores_gemma":[0.01502674,0.001392493,0.000188855,0.9629263,0.008644264,0.00001081486,0.000008050165,0.00001843756,0.01178397],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02727682,"threshold_uncertainty_score":0.04580075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065602559898569,"score_gpt":0.3696333264552601,"score_spread":0.3389773008562745,"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."}}