{"id":"W3133903953","doi":"10.1002/pmrj.12584","title":"Reaching performance scale for stroke – Test‐retest reliability, measurement error, concurrent and discriminant validity","year":2021,"lang":"en","type":"article","venue":"PM&R","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation; Jewish Rehabilitation Hospital","funders":"Canadian Institutes of Health Research; Physiotherapy Foundation of Canada; Heart and Stroke Foundation of Canada","keywords":"Concurrent validity; Reliability (semiconductor); Scale (ratio); Discriminant validity; Test (biology); Medicine; Stroke (engine); Reliability engineering; Physical medicine and rehabilitation; Statistics; Clinical psychology; Psychometrics; Mathematics; Internal consistency; Engineering; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006671757,0.0001308685,0.0002776526,0.00004142938,0.0001282346,0.00002426724,0.0000399279,0.00005812105,0.00003083799],"category_scores_gemma":[0.001743874,0.0001029602,0.0001276469,0.0000637987,0.00007468224,0.00008169509,0.00004849064,0.0001528164,0.00000662568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613084,"about_ca_system_score_gemma":0.0001538563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001492646,"about_ca_topic_score_gemma":0.00002380814,"domain_scores_codex":[0.9987856,0.0000478432,0.0002687986,0.000328459,0.000347874,0.0002214156],"domain_scores_gemma":[0.9988281,0.0003659628,0.00005940122,0.0002589242,0.0003437873,0.0001438584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001193017,0.0008303848,0.9088733,0.002370727,0.00004208482,0.000006246258,0.001530961,0.00001832261,0.03875547,0.00008076138,0.002330651,0.04504184],"study_design_scores_gemma":[0.003114768,0.001360165,0.9151594,0.0008003729,0.0002982343,0.00008232152,0.001211327,0.006889412,0.03262546,0.0001255112,0.03801322,0.0003198326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938316,0.00062864,0.000996112,0.002409779,0.0006268912,0.0004970653,0.00004642467,0.00004275264,0.000920743],"genre_scores_gemma":[0.9961852,0.0001705197,0.002616304,0.0001680942,0.000166312,0.00006026902,0.00002445395,0.00001522371,0.0005935733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.044722,"threshold_uncertainty_score":0.4198596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08671762631466416,"score_gpt":0.3164559752281609,"score_spread":0.2297383489134967,"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."}}