{"id":"W4385420455","doi":"10.1038/s41393-023-00921-2","title":"Interrater reliability of the Standing and Walking Assessment Tool for spinal cord injury","year":2023,"lang":"en","type":"article","venue":"Spinal Cord","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Muscular Dystrophy Canada; University of Toronto; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; University Health Network; Praxis Spinal Cord Institute; Université de Montréal; Institut de Readaptation Gingras Lindsay de Montreal; Toronto Rehabilitation Institute","funders":"","keywords":"Inter-rater reliability; Medicine; Physical therapy; Rehabilitation; Statistic; Cohen's kappa; Kappa; Physical medicine and rehabilitation; Spinal cord injury; Reliability (semiconductor); Rating scale; Berg Balance Scale; Psychology; Spinal cord; Psychiatry; Statistics; Developmental psychology","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":[0.03351973,0.0006576768,0.001365862,0.002701466,0.001601881,0.001940977,0.001326754,0.001074496,0.001719808],"category_scores_gemma":[0.1003027,0.0006010365,0.00212016,0.001306772,0.001546138,0.001825211,0.002995061,0.001144539,0.000841321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119446,"about_ca_system_score_gemma":0.002096577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004792248,"about_ca_topic_score_gemma":0.01149819,"domain_scores_codex":[0.9618324,0.01672103,0.00670515,0.003303853,0.0102951,0.001142383],"domain_scores_gemma":[0.9009728,0.050379,0.004953023,0.006213988,0.03620757,0.00127361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001975439,0.0004567083,0.8834423,0.0009411096,0.001698075,0.0003081696,0.02161471,0.002008113,0.006506438,0.001605832,0.003677285,0.07576582],"study_design_scores_gemma":[0.0001652655,0.0009971566,0.9610048,0.0004667822,0.0007178306,0.0009720328,0.007796954,0.01613743,0.005217773,0.001854627,0.004446756,0.0002225585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738157,0.001178542,0.01516957,0.0001655511,0.0005438244,0.0006045011,0.0007760725,0.0001524623,0.007593741],"genre_scores_gemma":[0.9886894,0.0003031275,0.008696201,0.00007455363,0.00008066675,0.0004780644,0.0005465932,0.00008902408,0.001042429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03351973,"threshold_uncertainty_score":0.1772714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1230087974284402,"score_gpt":0.4748014111725458,"score_spread":0.3517926137441056,"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."}}