{"id":"W1838628332","doi":"10.1002/ase.1393","title":"Determination of clinically relevant content for a musculoskeletal anatomy curriculum for physical medicine and rehabilitation residents","year":2013,"lang":"en","type":"article","venue":"Anatomical Sciences Education","topic":"Musculoskeletal Disorders and Rehabilitation","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Toronto","funders":"","keywords":"Curriculum; Likert scale; Delphi method; Cronbach's alpha; Medical education; Rehabilitation; Medicine; Content validity; Consistency (knowledge bases); Delphi; Physical therapy; Content analysis; Psychology; Medical physics; Pedagogy; Psychometrics; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007473356,0.0001219307,0.0003182086,0.0001927148,0.0001250392,0.00001758285,0.00008484256,0.00008185619,0.00001870622],"category_scores_gemma":[0.004826054,0.00008467289,0.000174872,0.0002788339,0.0007609146,0.0002767423,0.00001741477,0.0000630975,0.000002403915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005661427,"about_ca_system_score_gemma":0.0001853541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000486035,"about_ca_topic_score_gemma":0.00001787377,"domain_scores_codex":[0.998472,0.00006105031,0.0005854102,0.0003898364,0.0003013253,0.0001904267],"domain_scores_gemma":[0.9974548,0.001320336,0.0002523639,0.0001297329,0.0007069171,0.0001358422],"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":[0.0003105364,0.002928984,0.1380205,0.002913931,0.00004560633,9.735673e-8,0.00353138,0.000002310095,0.02434545,0.06799467,0.006216053,0.7536905],"study_design_scores_gemma":[0.004194071,0.01645308,0.764753,0.0009659738,0.0002951893,0.000008234911,0.01316155,0.06440107,0.0002069983,0.1343611,0.0008181717,0.0003815499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979826,0.0001493563,0.00237174,0.01477945,0.0002228113,0.002448037,0.000003425188,0.00001742203,0.0001818002],"genre_scores_gemma":[0.9664103,0.00002846488,0.03256678,0.0001856055,0.0001585939,0.0005443679,0.00004017566,0.000009182451,0.00005657368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7533089,"threshold_uncertainty_score":0.5777586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974167828986865,"score_gpt":0.3836949501020443,"score_spread":0.3639532718121756,"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."}}