{"id":"W2352364794","doi":"","title":"Curriculum Mapping in Canadian and UK Medical Schools","year":2010,"lang":"en","type":"article","venue":"Fudan jiaoyu luntan","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Construct (python library); Process (computing); Medical education; Upgrade; Interface (matter); Political science; Medicine; Sociology; Computer science; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000351176,0.0001181163,0.0001288658,0.00009202919,0.00006759052,0.00002522427,0.0002088086,0.0003763755,0.0001823805],"category_scores_gemma":[0.0005913253,0.0001049045,0.00002999963,0.0001110064,0.0001579957,0.000001800736,0.00008252693,0.0003934269,0.00001834821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001550464,"about_ca_system_score_gemma":0.0002979082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0443587,"about_ca_topic_score_gemma":0.4433427,"domain_scores_codex":[0.9989652,0.00003054183,0.0001651833,0.0002927619,0.0001397973,0.0004065213],"domain_scores_gemma":[0.9992083,0.000008940337,0.00002705989,0.0002142045,0.00002258505,0.0005188641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003431021,0.00001881456,0.9476756,0.00001185333,0.00001460842,0.00007168733,0.000114008,9.00738e-8,0.01737146,0.0002288898,0.005675015,0.02881456],"study_design_scores_gemma":[0.0008758219,0.0001286203,0.2187673,0.00007109392,0.000006740283,0.0002118764,0.001033155,0.000264775,0.001520039,0.0002642392,0.7764455,0.0004107694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944643,0.000387235,0.00002750876,0.002390438,0.0003335263,0.00007103215,0.000009290832,0.00001374742,0.002302907],"genre_scores_gemma":[0.9977134,0.000085159,0.0009877445,0.0006331085,0.0002932468,0.00001159362,0.00004214729,0.00001044181,0.000223186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7707705,"threshold_uncertainty_score":0.962005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006442747712204863,"score_gpt":0.2507160061811567,"score_spread":0.2442732584689518,"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."}}