{"id":"W4385932817","doi":"10.1080/09602011.2023.2247152","title":"Predictive validity of the Oxford digital multiple errands test (OxMET) for functional outcomes after stroke","year":2023,"lang":"en","type":"article","venue":"Neuropsychological Rehabilitation","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stroke Association; Health Services and Delivery Research Programme; National Institute for Health and Care Research","keywords":"Predictive validity; Stroke (engine); Context (archaeology); Montreal Cognitive Assessment; Rehabilitation; Physical therapy; Activities of daily living; Modified Rankin Scale; Physical medicine and rehabilitation; Psychology; Barthel index; Ecological validity; Medicine; Cognition; Executive dysfunction; Test (biology); Cognitive impairment; Clinical psychology; Neuropsychology; Psychiatry; Ischemic stroke","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0003296992,0.0001640178,0.0003057316,0.000147556,0.00008336316,0.00001831461,0.00009350769,0.0001368534,0.00006857843],"category_scores_gemma":[0.01878038,0.00009610812,0.0006098845,0.0004379304,0.0003151013,0.0001346429,0.00004265465,0.0001968755,0.00002246458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004775656,"about_ca_system_score_gemma":0.00003896347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.469387e-7,"about_ca_topic_score_gemma":9.586053e-7,"domain_scores_codex":[0.998385,0.0001043959,0.0004522181,0.0003992136,0.0004360453,0.0002231926],"domain_scores_gemma":[0.9901344,0.009013887,0.0001255734,0.0003447468,0.0002922202,0.00008922774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001309959,0.0004530252,0.9934767,0.00007273182,0.00002462345,9.405996e-7,0.000131796,0.00005758159,0.002026701,0.00003466709,0.001481939,0.0009293673],"study_design_scores_gemma":[0.002177329,0.002326159,0.9903892,0.00003273159,0.00004373166,0.0000044034,0.000200745,0.0005602578,0.00005799248,0.0007521777,0.003369563,0.00008569873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992385,0.000009531737,0.0009625134,0.003293761,0.0009378641,0.00127342,0.0003899877,0.0001401474,0.0006077584],"genre_scores_gemma":[0.9975235,0.000008080911,0.0004852759,0.0003742127,0.0001065323,0.0003600773,0.00005736552,0.00002029632,0.001064653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01845068,"threshold_uncertainty_score":0.9894848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03904316890125711,"score_gpt":0.3089552294610247,"score_spread":0.2699120605597676,"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."}}