{"id":"W2399203778","doi":"10.1016/j.rboe.2016.08.017","title":"The Brazilian version of the Constant–Murley Score (CMS-BR): convergent and construct validity, internal consistency, and unidimensionality","year":2016,"lang":"en","type":"article","venue":"Revista Brasileira de Ortopedia (English Edition)","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Cronbach's alpha; Construct validity; Dash; Convergent validity; Psychology; Clinical psychology; Physical therapy; Range of motion; Population; Statistics; Mathematics; Medicine; Internal consistency; Psychometrics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006287593,0.0002226865,0.0003723762,0.00004806795,0.0003366915,0.00005688745,0.0001497551,0.0001102882,0.0004329742],"category_scores_gemma":[0.001283481,0.0001197475,0.0001411613,0.0001450731,0.00158188,0.0001735362,0.0002111222,0.0002083839,0.000005076654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000848901,"about_ca_system_score_gemma":0.0003366559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006020107,"about_ca_topic_score_gemma":0.0000848458,"domain_scores_codex":[0.9982375,0.000205795,0.0004989216,0.0003432308,0.0004216763,0.0002928731],"domain_scores_gemma":[0.9979965,0.0007103543,0.000274139,0.0004290262,0.0003562403,0.0002337319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002076167,0.00006349947,0.9491248,0.00023926,0.00009620041,0.000009863983,0.0001400308,6.204485e-8,0.001300435,0.02568478,0.02128664,0.001846858],"study_design_scores_gemma":[0.003758152,0.0002668019,0.9370465,0.001570647,0.0003297841,0.0001315133,0.0008857565,0.000009307619,0.001650103,0.0007384928,0.05333337,0.0002796034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920831,0.0008184038,0.00003930268,0.001367152,0.001060949,0.000645851,0.0002582631,0.00003662115,0.003690402],"genre_scores_gemma":[0.9968222,0.001568672,0.00004661684,0.0007083173,0.0003521876,0.00001375701,0.00002649701,0.00001788893,0.0004438653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03204673,"threshold_uncertainty_score":0.5828503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761853498770147,"score_gpt":0.2528306595675984,"score_spread":0.2352121245798969,"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."}}