{"id":"W2051510644","doi":"10.5014/ajot.2011.002063","title":"Modified Constraint-Induced Movement Therapy for Elderly Clients With Subacute Stroke","year":2011,"lang":"en","type":"article","venue":"American Journal of Occupational Therapy","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. John's Rehab Hospital; Baycrest Hospital; McMaster University; Toronto Rehabilitation Institute; University of Toronto","funders":"National Institutes of Health; Toronto Rehabilitation Institute; Ontario Ministry of Health and Long-Term Care; Heart and Stroke Foundation of Canada","keywords":"Constraint-induced movement therapy; Stroke (engine); Rehabilitation; Medicine; Occupational therapy; Physical therapy; Physical medicine and rehabilitation; Randomized controlled trial; Intervention (counseling); Population; Gerontology; Internal medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00126765,0.0004291352,0.0008316249,0.0007157131,0.000406471,0.0002283825,0.0006879351,0.0004969432,0.001540829],"category_scores_gemma":[0.003829304,0.0001673533,0.0004429636,0.0004414982,0.0002253169,0.0002141022,0.0004858975,0.0004934194,0.000188578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005228561,"about_ca_system_score_gemma":0.0009932299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003607005,"about_ca_topic_score_gemma":0.007679152,"domain_scores_codex":[0.9993538,0.0002977959,0.00009980374,0.00005186809,0.0001272303,0.00006948115],"domain_scores_gemma":[0.9994346,0.0001622977,0.0001873002,0.00004337159,0.00004411914,0.0001282739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.07070672,0.08457802,0.02924317,0.003796068,0.0008639295,0.0005115324,0.00134311,0.001969794,0.007044598,0.0002226909,0.002100664,0.7976199],"study_design_scores_gemma":[0.07254543,0.408577,0.5005099,0.0007957629,0.0008293958,0.0006721954,0.0008714519,0.005777038,0.003930226,0.0007062474,0.004675654,0.0001095901],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951136,0.001319714,0.0006642328,0.0001099962,0.00003546603,0.001901916,0.00009713443,0.00003044694,0.0007275036],"genre_scores_gemma":[0.9860598,0.001936234,0.004872643,0.0001474239,0.00007861627,0.005790005,0.0003078116,0.000004224917,0.000803194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003607005,"threshold_uncertainty_score":0.007172048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.083325852666261,"score_gpt":0.345848935889296,"score_spread":0.262523083223035,"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."}}