{"id":"W4290034630","doi":"10.1177/15459683221115413","title":"Assessment of Neurological Impairment and Recovery Using Statistical Models of Neurologically Healthy Behavior","year":2022,"lang":"en","type":"article","venue":"Neurorehabilitation and neural repair","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Hotchkiss Brain Institute; Queen's University","funders":"Canadian Institutes of Health Research; Ontario Research Foundation; GlaxoSmithKline foundation; Heart and Stroke Foundation of Canada","keywords":"Physical medicine and rehabilitation; Motor impairment; Ceiling effect; Stroke (engine); Kinematics; Psychology; Motor function; Clinical trial; Cognition; Medicine; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008111934,0.001325649,0.001153572,0.002549602,0.0003851064,0.002312463,0.00144083,0.000975719,0.001379072],"category_scores_gemma":[0.02221188,0.0003957598,0.001778846,0.001532964,0.001362578,0.001646401,0.001274712,0.001849381,0.0006418111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362189,"about_ca_system_score_gemma":0.001539867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053484,"about_ca_topic_score_gemma":0.009346075,"domain_scores_codex":[0.9975343,0.001247675,0.0001500032,0.0004985606,0.0004118686,0.0001575493],"domain_scores_gemma":[0.9892714,0.007191332,0.001456738,0.00110829,0.000768376,0.0002037042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003289752,0.0004577815,0.06860491,0.000249043,0.0009070119,0.000194929,0.0004903474,0.7880076,0.002230074,0.03810482,0.003122778,0.09730172],"study_design_scores_gemma":[0.00001089192,0.0002249837,0.01150389,0.00004154146,0.00005408292,0.00008465927,0.00007946445,0.9581543,0.0003424929,0.02837392,0.001086444,0.00004329196],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1077154,0.0007380585,0.8846996,0.001228361,0.0001193745,0.0002574478,0.001113001,0.001282654,0.002846183],"genre_scores_gemma":[0.8919372,0.0009666284,0.1009863,0.0003362426,0.0001348863,0.0007795153,0.001441905,0.0001571098,0.003260251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01053484,"threshold_uncertainty_score":0.04290056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03702898138678935,"score_gpt":0.3405239499743436,"score_spread":0.3034949685875543,"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."}}