{"id":"W4386423834","doi":"10.1093/jhmas/jrad053","title":"From Canadian Surgeon to Chinese Martyr: Dr. Norman Bethune and the Making of a Medical Folk Hero","year":2023,"lang":"en","type":"article","venue":"Journal of the History of Medicine and Allied Sciences","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; McGill University Health Centre","funders":"","keywords":"Martyr; HERO; Communism; Politics; China; Memoir; History; Media studies; Medicine; Law; Sociology; Political science; Literature; Art history; Art","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":[0.0007972973,0.0004394662,0.0002566086,0.0009405558,0.02509325,0.003599349,0.0008956395,0.001595532,0.01182556],"category_scores_gemma":[0.002937814,0.0001873337,0.0001493729,0.001017529,0.009192604,0.001343581,0.001885063,0.003906361,0.001300209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04505405,"about_ca_system_score_gemma":0.05509148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9083383,"about_ca_topic_score_gemma":0.9670132,"domain_scores_codex":[0.9990907,0.0001249485,0.00001391487,0.00009006924,0.0003899515,0.0002903962],"domain_scores_gemma":[0.9984004,0.0002397638,0.00007794704,0.00002981939,0.0005682426,0.0006838689],"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":[0.00003154277,0.00001429983,0.002030917,0.0001091436,0.00000786966,0.001072724,0.05339658,0.00006785233,0.000449414,0.02603968,0.8919984,0.02478161],"study_design_scores_gemma":[0.0000035325,0.00001100161,0.003458242,0.0001533279,0.000005894064,0.0005567885,0.04918468,0.00003162952,0.0001596679,0.0006959903,0.9457109,0.00002835479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05350231,0.06271743,0.0004637544,0.6042551,0.01954291,0.00005004627,0.0003705905,0.0001150967,0.2589828],"genre_scores_gemma":[0.5041221,0.04086876,0.0007071337,0.1108639,0.004826553,0.00003807287,0.0001553504,0.0001406669,0.3382774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09166169,"threshold_uncertainty_score":0.3268915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03230626998777053,"score_gpt":0.2958440297689263,"score_spread":0.2635377597811558,"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."}}