{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006139029,0.0009284149,0.001106559,0.004215456,0.0007244787,0.001023768,0.0007720775,0.0004711382,0.00416044],"category_scores_gemma":[0.02537089,0.0003714403,0.001141844,0.003328666,0.0006872496,0.0008581684,0.001204975,0.0007357352,0.0008774775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227801,"about_ca_system_score_gemma":0.004262301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171339,"about_ca_topic_score_gemma":0.02222784,"domain_scores_codex":[0.9949355,0.001579403,0.0008863162,0.0004004862,0.002048811,0.0001495091],"domain_scores_gemma":[0.9912238,0.002306215,0.001442718,0.0003682031,0.004366139,0.0002928963],"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":[0.0005244256,0.0005831694,0.3488506,0.002927027,0.0008596373,0.0005145764,0.005545921,0.001137899,0.005385047,0.005352451,0.02306094,0.6052583],"study_design_scores_gemma":[0.0002546754,0.0006271865,0.9375905,0.002293507,0.0004519761,0.00193883,0.002710623,0.002711328,0.002579362,0.003487571,0.04521263,0.0001417693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.84668,0.01282527,0.04283165,0.004849913,0.001258104,0.00362432,0.01396001,0.0006674685,0.07330313],"genre_scores_gemma":[0.8520816,0.007016729,0.1193853,0.0006111016,0.000223599,0.004264523,0.008115922,0.0002711271,0.008030021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01171339,"threshold_uncertainty_score":0.03246665,"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."}}