{"id":"W4323352295","doi":"10.36834/cmej.75106","title":"Time’s up for prioritizing Physician Humanism into CanMEDS","year":2023,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University","funders":"","keywords":"Humanism; Computer science; Medical education; Data science; Medicine; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.04279662,0.0006714538,0.0008925161,0.002087436,0.01110924,0.02137886,0.001813877,0.01041186,0.05071581],"category_scores_gemma":[0.151669,0.0007942424,0.001299069,0.001348198,0.009531561,0.01578998,0.01472524,0.02397722,0.008936772],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01458972,"about_ca_system_score_gemma":0.07464765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01550104,"about_ca_topic_score_gemma":0.05034297,"domain_scores_codex":[0.9565119,0.01761625,0.002334182,0.001822222,0.0148028,0.006912603],"domain_scores_gemma":[0.8165861,0.06565081,0.008266412,0.004065215,0.03161424,0.07381716],"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":[0.0002081312,0.0001450828,0.002122775,0.0006020442,0.00006969454,0.0003835083,0.004306788,0.0002309544,0.0007522396,0.04053688,0.7702986,0.1803434],"study_design_scores_gemma":[0.0001153586,0.0001461381,0.003738606,0.002000186,0.00005540957,0.0005134221,0.00824902,0.0002155035,0.0007696538,0.04385311,0.940193,0.0001504562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002426974,0.006775558,0.003707988,0.9272214,0.02166074,0.00008727499,0.0001201436,0.0002486157,0.03775139],"genre_scores_gemma":[0.1601543,0.01122809,0.02423423,0.7439843,0.0213956,0.0005053382,0.0002738076,0.0008596167,0.0373648],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9854103,"threshold_uncertainty_score":0.2263328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573386134775858,"score_gpt":0.3496548365372116,"score_spread":0.333920975189453,"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."}}