{"id":"W4389021990","doi":"10.1096/fasebj.31.1_supplement.388.1","title":"Movement Guided Learning as an Efficacious, Effective, and Evidence‐based Teaching Strategy Within the Undergraduate Anatomy Classroom","year":2017,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute","funders":"","keywords":"Workbook; Presentation (obstetrics); Curriculum; Class (philosophy); Medical education; Relevance (law); Psychology; Active learning (machine learning); Gross anatomy; Mathematics education; Medicine; Computer science; Anatomy; Pedagogy; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003158897,0.0004066215,0.0002843392,0.000741177,0.0005047399,0.001554688,0.001584088,0.0008548056,0.002301866],"category_scores_gemma":[0.00504222,0.0001786228,0.0003123486,0.0002382728,0.0008345696,0.001046839,0.002195531,0.00106597,0.0007103565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005491363,"about_ca_system_score_gemma":0.002224389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004625632,"about_ca_topic_score_gemma":0.001784786,"domain_scores_codex":[0.9966598,0.001530865,0.0001220848,0.0002907148,0.001233382,0.0001631145],"domain_scores_gemma":[0.9979026,0.0009829581,0.0002532196,0.000250761,0.0002154668,0.0003949599],"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":[0.0001680192,0.008191222,0.005494354,0.001084414,0.0000389562,0.0002877002,0.004772883,0.001991144,0.02522787,0.005102401,0.005723564,0.9419174],"study_design_scores_gemma":[0.002334226,0.04842312,0.2023619,0.009232999,0.0006227912,0.009051216,0.02567718,0.03446132,0.1583352,0.04211089,0.4669282,0.0004608881],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7121995,0.003980382,0.2047799,0.004990818,0.0005105197,0.003127905,0.0001360665,0.002110273,0.06816461],"genre_scores_gemma":[0.6254347,0.002933211,0.3571141,0.000749484,0.0001144102,0.001215887,0.0001167804,0.00009453575,0.01222689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003158897,"threshold_uncertainty_score":0.01670605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331235211619605,"score_gpt":0.301867145345051,"score_spread":0.278554793228855,"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."}}