{"id":"W3087670152","doi":"10.1111/medu.14374","title":"The medico‐legal helpline: A content analysis of postgraduate medical trainee advice calls","year":2020,"lang":"en","type":"article","venue":"Medical Education","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Canadian Medical Protective Association; University of Ottawa","funders":"","keywords":"Liability; Confidentiality; Legal advice; Content analysis; Medicine; Curriculum; Family medicine; Context (archaeology); Population; Medical education; Psychology; Public relations; Political science; Law; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004364306,0.0001790965,0.0006074135,0.0001059202,0.0003677694,0.00001123021,0.0006586829,0.0004264384,0.01198629],"category_scores_gemma":[0.1122692,0.0001090321,0.0002106983,0.001242678,0.0004567819,0.0001097606,0.0001358582,0.001471005,0.0002063025],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008155699,"about_ca_system_score_gemma":0.006243365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002412363,"about_ca_topic_score_gemma":0.001058148,"domain_scores_codex":[0.9937827,0.001246038,0.001446735,0.0003728801,0.002653261,0.0004983916],"domain_scores_gemma":[0.9911112,0.005873238,0.0004854938,0.0004543901,0.000616138,0.001459524],"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":[0.0007259015,0.00215206,0.03943508,0.001162844,0.002108105,0.00003900283,0.03674804,0.0000031352,0.000143713,0.03014313,0.7382889,0.1490501],"study_design_scores_gemma":[0.001166388,0.0002446811,0.03068665,0.0003848247,0.001143623,0.000003669517,0.0237652,0.01750017,0.00001585016,0.0001793531,0.9247031,0.0002065542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1995067,0.0006425056,0.000787432,0.7937023,0.001423562,0.0005539636,0.00001317367,0.00009609354,0.003274342],"genre_scores_gemma":[0.8901918,0.0006730353,0.0001810023,0.1051159,0.001818227,0.0002053111,0.0001707725,0.00002055889,0.001623435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6906852,"threshold_uncertainty_score":0.9993903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08484342168783175,"score_gpt":0.4699065376760778,"score_spread":0.385063115988246,"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."}}