{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006494361,0.0002407932,0.0003647811,0.007700739,0.007207621,0.004631725,0.001315393,0.0006754484,0.005717855],"category_scores_gemma":[0.02589079,0.0003751823,0.0003521179,0.02054508,0.001779199,0.001561201,0.003659901,0.0009225563,0.0005535708],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07553736,"about_ca_system_score_gemma":0.1638565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.964315,"about_ca_topic_score_gemma":0.9802698,"domain_scores_codex":[0.9891033,0.001534406,0.0006210546,0.001145241,0.004848238,0.002747741],"domain_scores_gemma":[0.9677783,0.002905451,0.002677318,0.0006401334,0.01563852,0.01036026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000287197,0.0001952603,0.3213357,0.001019737,0.00004201957,0.0003914965,0.09297702,0.0007875902,0.001584599,0.02191935,0.06767535,0.4917846],"study_design_scores_gemma":[0.00001912268,0.00009438884,0.6811152,0.0003612391,0.00002589707,0.0002029505,0.05509213,0.0004357467,0.0007095588,0.0005184032,0.2613495,0.00007591767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8540054,0.006868036,0.001768093,0.02404911,0.0004370812,0.0003977165,0.004728741,0.0004033256,0.1073426],"genre_scores_gemma":[0.9728696,0.003660277,0.002888998,0.001460098,0.00003501798,0.00009386379,0.001651048,0.00007285301,0.01726824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9244626,"threshold_uncertainty_score":0.5480645,"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."}}