{"id":"W4220793901","doi":"10.3390/educsci12040249","title":"Assessment for Learning: The University of Toronto Temerty Faculty of Medicine M.D. Program Experience","year":2022,"lang":"en","type":"article","venue":"Education Sciences","topic":"Innovations in Medical Education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Coaching; Context (archaeology); Curriculum; Computer science; Faculty development; Program evaluation; Resource (disambiguation); Medical education; Knowledge management; Professional development; Psychology; Pedagogy; Medicine; Political science","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":[0.001820198,0.0004271503,0.0002252913,0.000509026,0.005740588,0.002421216,0.001011708,0.0009426362,0.03087724],"category_scores_gemma":[0.002861757,0.0003313576,0.0002809804,0.001008103,0.001240082,0.0009132813,0.004330015,0.002438933,0.003328372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02180643,"about_ca_system_score_gemma":0.0563195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3003387,"about_ca_topic_score_gemma":0.7849007,"domain_scores_codex":[0.9983119,0.0002790739,0.00004559389,0.0001314495,0.0005960331,0.0006360581],"domain_scores_gemma":[0.9886733,0.0001448045,0.0001159358,0.00008888393,0.0007550718,0.01022192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002962587,0.0009900902,0.04534792,0.0002763047,0.00001712599,0.003350676,0.01984493,0.000724781,0.00138545,0.003848576,0.6670175,0.2569004],"study_design_scores_gemma":[0.0001110605,0.0008129604,0.1208435,0.0004075032,0.00001537754,0.003253959,0.01974114,0.0006714953,0.000799511,0.001103437,0.8521675,0.0000724346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4986306,0.008593481,0.004316498,0.2092291,0.004440706,0.0009140727,0.003227701,0.0007966094,0.2698513],"genre_scores_gemma":[0.7874674,0.005332973,0.00858543,0.01616242,0.001008013,0.000265576,0.001433177,0.000221422,0.1795235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6996614,"threshold_uncertainty_score":0.597181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06336086552407602,"score_gpt":0.4640633118634434,"score_spread":0.4007024463393674,"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."}}