{"id":"W2055874060","doi":"10.1503/cmaj.081970","title":"Quieten your inner critic","year":2009,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Empathy and Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wish; General practice; Computer science; Medical education; Data science; Medicine; Family medicine; 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":[0.006542732,0.001160075,0.000774151,0.001297357,0.01711866,0.01366036,0.001474488,0.008367063,0.03496852],"category_scores_gemma":[0.04039816,0.0004627504,0.0007768306,0.0005232328,0.01705522,0.01393778,0.009804265,0.02744194,0.02132461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005098493,"about_ca_system_score_gemma":0.006281631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004856408,"about_ca_topic_score_gemma":0.007619652,"domain_scores_codex":[0.9909635,0.00446807,0.000191529,0.0008306251,0.002289673,0.001256682],"domain_scores_gemma":[0.9809015,0.00318074,0.001301605,0.001372001,0.006708946,0.006535302],"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":[0.0000421806,0.00004623557,0.0005826107,0.00007482107,0.00001648194,0.0006418048,0.01916702,0.00004417016,0.0003662958,0.03492722,0.9260783,0.01801295],"study_design_scores_gemma":[0.00001169328,0.00002650509,0.0001813571,0.000223172,0.000009913764,0.001027354,0.01980002,0.0000752472,0.0002121315,0.01451986,0.9638805,0.00003223783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004192029,0.006954897,0.003368482,0.8308795,0.05695788,0.00004066321,0.00004463421,0.0003918784,0.09716994],"genre_scores_gemma":[0.1263638,0.005378382,0.003123161,0.5233744,0.01849477,0.00009199392,0.00007859725,0.001256704,0.3218382],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03496852,"threshold_uncertainty_score":0.1169814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246551998852827,"score_gpt":0.2914092510528125,"score_spread":0.2789437310642843,"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."}}