{"id":"W2415071975","doi":"","title":"CLINICAL RELIABILITY AND DIAGNOSTIC ACCURACY OF VISUAL SCAPULOHUMERAL MOVEMENT EVALUATION IN DETECTING PATIENTS WITH SHOULDER IMPAIRMENT.","year":2015,"lang":"en","type":"article","venue":"PubMed","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Medicine; Inter-rater reliability; Kappa; Cronbach's alpha; Reliability (semiconductor); Cohen's kappa; Physical medicine and rehabilitation; Physical therapy; Intra-rater reliability; Rehabilitation; Contingency table; Statistic; Confidence interval; Psychometrics; Psychology; Statistics; Machine learning; Rating scale; 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":[0.01010396,0.0003854754,0.000349971,0.001720429,0.0002383089,0.000701646,0.0005196109,0.000544365,0.0009043624],"category_scores_gemma":[0.05243665,0.0002887061,0.0004315502,0.0005137392,0.0008274004,0.000634581,0.001071651,0.0003523061,0.0003420486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002604396,"about_ca_system_score_gemma":0.0003744801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009182754,"about_ca_topic_score_gemma":0.001159017,"domain_scores_codex":[0.9920762,0.004225031,0.001005337,0.0006756656,0.001755384,0.0002623529],"domain_scores_gemma":[0.9684945,0.01875758,0.006217901,0.001048373,0.00471143,0.0007702971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003704428,0.00006431192,0.9812264,0.00008889793,0.00009049045,0.0000675628,0.000420169,0.0002629138,0.0006400904,0.00002882768,0.0002108043,0.01652908],"study_design_scores_gemma":[0.0000594569,0.0007999606,0.9891154,0.0001337769,0.0001388827,0.00157613,0.001009444,0.005347856,0.001192474,0.0001964284,0.0004059438,0.00002427577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994545,0.001196539,0.002185421,0.00009757569,0.00004610908,0.0000669836,0.0001456446,0.00004249478,0.001674169],"genre_scores_gemma":[0.9990051,0.00008676641,0.00077067,0.00001110539,0.000008613312,0.00001680889,0.00004883661,0.000002309736,0.00004991755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01010396,"threshold_uncertainty_score":0.05343544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05812775809551586,"score_gpt":0.3685533171370005,"score_spread":0.3104255590414847,"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."}}