{"id":"W2372273676","doi":"","title":"Training of innovative ability for Chinese medical students through observation of imaging teaching in University of Toronto","year":2008,"lang":"en","type":"article","venue":"Zhongguo gaodeng yixue jiaoyu","topic":"Radiology practices and education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Medical education; Medical imaging; Medicine; Radiology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007025934,0.0002310861,0.0001049525,0.0005305345,0.003199656,0.0009525261,0.0004018676,0.0003379907,0.002043151],"category_scores_gemma":[0.001720423,0.0001495561,0.0002812865,0.0006266829,0.0014495,0.0005048698,0.001516268,0.0005200306,0.0001234143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005907136,"about_ca_system_score_gemma":0.01703799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1655452,"about_ca_topic_score_gemma":0.3715045,"domain_scores_codex":[0.9996318,0.00009077719,0.00001908551,0.00003807549,0.0000939436,0.0001264412],"domain_scores_gemma":[0.9989367,0.0001250833,0.0001051486,0.00004370719,0.0001543637,0.0006350533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001892149,0.001005791,0.2604765,0.0005946906,0.00002503685,0.002253881,0.3405934,0.001416694,0.02713804,0.01728025,0.0266213,0.3224052],"study_design_scores_gemma":[0.0000662806,0.0005983092,0.7763753,0.0002712419,0.00006498696,0.001266333,0.09489311,0.002099988,0.01229281,0.002444301,0.1094999,0.0001275637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820601,0.0005158489,0.001222297,0.002734324,0.00004516241,0.0000647145,0.0000229844,0.00003336731,0.01330119],"genre_scores_gemma":[0.9926845,0.0008306707,0.001788618,0.0001194568,0.00002140885,0.00002548607,0.0000227993,0.000004690546,0.004502382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1655452,"threshold_uncertainty_score":0.3291633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06350818421284224,"score_gpt":0.3788425277412626,"score_spread":0.3153343435284204,"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."}}