{"id":"W4205331252","doi":"10.1017/cjn.2021.394","title":"P.118 Curriculum mapping can facilitate transition to Competence by Design","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Curriculum; Competence (human resources); Curriculum mapping; Emergent curriculum; Medical education; Specialty; Curriculum development; Curriculum theory; Transition (genetics); Medicine; Psychology; Pedagogy; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004738071,0.0006683478,0.0001986214,0.001884683,0.001654524,0.003446698,0.00140604,0.0009287436,0.04268927],"category_scores_gemma":[0.02125529,0.0003889952,0.0007270745,0.001990097,0.001673854,0.003735312,0.003470635,0.001678971,0.008520708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520412,"about_ca_system_score_gemma":0.006795678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006794571,"about_ca_topic_score_gemma":0.0135651,"domain_scores_codex":[0.9975532,0.001123265,0.0001492746,0.0001596395,0.0008743175,0.0001404121],"domain_scores_gemma":[0.9915854,0.003797334,0.000909692,0.001019755,0.001964844,0.0007229752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009114111,0.0003392742,0.005148661,0.001139525,0.00001594933,0.000357272,0.009969999,0.002547475,0.00235687,0.03736562,0.1552462,0.785422],"study_design_scores_gemma":[0.00007053369,0.0002680858,0.01038078,0.001673559,0.00002329155,0.0004814539,0.007183353,0.005478743,0.002728645,0.04874912,0.9228978,0.00006459007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04192816,0.001912743,0.5813175,0.0262763,0.002866948,0.003957106,0.002159036,0.00920105,0.3303811],"genre_scores_gemma":[0.15115,0.002320255,0.7830051,0.00179702,0.0002556053,0.002587455,0.001513355,0.001385018,0.05598616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04268927,"threshold_uncertainty_score":0.1428098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04890758102294464,"score_gpt":0.2902575350036871,"score_spread":0.2413499539807425,"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."}}