{"id":"W1988830240","doi":"10.1503/cmaj.071851","title":"Medical humanities for what ails us","year":2008,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Empathy and Medical Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poetry; Medical humanities; Medicine; Computer science; World Wide Web; Data science; Medical education; Art; Literature","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004105887,0.0005878042,0.0005771544,0.001539223,0.01162516,0.01228138,0.0007542102,0.004498117,0.09148204],"category_scores_gemma":[0.01556675,0.0002578579,0.0005232545,0.001307133,0.01248031,0.00912462,0.007569013,0.009790022,0.03181094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004429822,"about_ca_system_score_gemma":0.01030813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008021549,"about_ca_topic_score_gemma":0.01722017,"domain_scores_codex":[0.9952818,0.002144077,0.0001467683,0.0002865827,0.001346737,0.0007939895],"domain_scores_gemma":[0.9882245,0.002132454,0.0006689964,0.001699143,0.002227303,0.005047563],"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":[0.00001813163,0.00003874941,0.0003070552,0.000148363,0.000008477516,0.0001169115,0.005838891,0.00002140577,0.0001743374,0.0964868,0.8357767,0.06106417],"study_design_scores_gemma":[0.0000019319,0.000004933088,0.0001456964,0.0002363567,0.000001413376,0.0001180159,0.002073702,0.000007222218,0.00002051306,0.009380693,0.9880047,0.000004617611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0009959869,0.05722748,0.0008816347,0.6269729,0.03021208,0.00003488428,0.0001068244,0.0002155347,0.2833526],"genre_scores_gemma":[0.08991162,0.073622,0.00497426,0.260661,0.03251139,0.000114242,0.0002358811,0.0004519838,0.5375176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09148204,"threshold_uncertainty_score":0.3060379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383954665395037,"score_gpt":0.2815173912258905,"score_spread":0.2576778445719402,"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."}}