{"id":"W2057994134","doi":"10.1080/01421590701758665","title":"The wounding path to becoming healers: medical students’ apprenticeship experiences","year":2008,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Empathy and Medical Education","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Apprenticeship; Path (computing); Medical education; Career path; Medicine; Psychology; Computer science; Engineering; History; Engineering management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005200465,0.0007140355,0.0009490013,0.001464011,0.01253831,0.00852068,0.001893167,0.002875101,0.004084963],"category_scores_gemma":[0.01406222,0.0006000177,0.0005672768,0.0007957944,0.01064453,0.003659773,0.01046004,0.006473673,0.0005566094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00247745,"about_ca_system_score_gemma":0.004455584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00451712,"about_ca_topic_score_gemma":0.01104559,"domain_scores_codex":[0.9939329,0.003118269,0.0001837429,0.000335912,0.0009764999,0.001452645],"domain_scores_gemma":[0.987676,0.003719847,0.00108082,0.0003381151,0.001041738,0.006143407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004317059,0.0002220737,0.006453915,0.00009223956,0.000005697015,0.001281407,0.9804985,0.00002846949,0.0006377268,0.00102726,0.001436836,0.008272664],"study_design_scores_gemma":[0.000008828614,0.0002569482,0.004159388,0.000101103,0.000007734658,0.001706931,0.9756832,0.00006117752,0.0003935142,0.000312095,0.01728052,0.00002857012],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990045,0.000651368,0.0005515711,0.002852636,0.0001691288,0.00004857597,0.00001299718,0.00002572755,0.005642876],"genre_scores_gemma":[0.9955805,0.0006114107,0.0003730044,0.0007346457,0.00005561802,0.00002941675,0.00001583186,0.0000137349,0.002585857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01253831,"threshold_uncertainty_score":0.02750301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06668068384427432,"score_gpt":0.3907304019134625,"score_spread":0.3240497180691881,"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."}}