{"id":"W3039481256","doi":"10.36834/cmej.70298","title":"Art of medicine, art as medicine, and art for medical education","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Empathy and Medical Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Traditional medicine; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006919598,0.0004343814,0.0005423995,0.001643255,0.01244008,0.01272135,0.00178128,0.01023998,0.006292716],"category_scores_gemma":[0.01610087,0.0002233235,0.0005938222,0.001299492,0.063168,0.009297755,0.005127092,0.01633288,0.001090458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01362511,"about_ca_system_score_gemma":0.0140022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04241259,"about_ca_topic_score_gemma":0.07709432,"domain_scores_codex":[0.986196,0.008376643,0.0003487385,0.0007827102,0.002849968,0.001445957],"domain_scores_gemma":[0.9893025,0.007200063,0.0006919989,0.0005212554,0.001253444,0.001030781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001187632,0.000009863709,0.0001033092,0.0001600718,0.00000436815,0.00007599334,0.01468196,0.00005090238,0.00004601214,0.8806157,0.09324846,0.01099138],"study_design_scores_gemma":[0.000008802005,0.00001388497,0.0005045578,0.000953879,0.000005923295,0.0002177577,0.01047927,0.0001032226,0.00007514576,0.1495243,0.8380927,0.00002042229],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002153489,0.07976329,0.002249814,0.6780195,0.01374508,0.00003058866,0.00003188815,0.00004103503,0.2239652],"genre_scores_gemma":[0.3526201,0.05437585,0.004817362,0.4665098,0.03170903,0.0001595846,0.00004871755,0.0001412709,0.08961815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04241259,"threshold_uncertainty_score":0.09885752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012805830105711,"score_gpt":0.340713401240728,"score_spread":0.3205853429396709,"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."}}