{"id":"W2565381635","doi":"10.1007/978-3-319-47313-0_7","title":"Principles of Motor Recovery After Neurological Injury Based on a Motor Control Theory","year":2016,"lang":"en","type":"review","venue":"Advances in experimental medicine and biology","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Physical medicine and rehabilitation; Motor control; Motor function; Spasticity; Movement control; Rehabilitation; Neuroscience; Control (management); Referent; Weakness; Medicine; Psychology; Computer science; Anatomy; Artificial intelligence","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":[0.0006018738,0.001041704,0.001279947,0.002581752,0.0003529081,0.001098238,0.001499541,0.001267276,0.002339475],"category_scores_gemma":[0.0006261539,0.0002449002,0.0007997387,0.00154304,0.001862151,0.001769973,0.001012934,0.001615577,0.001002415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009958741,"about_ca_system_score_gemma":0.001466803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323738,"about_ca_topic_score_gemma":0.001539014,"domain_scores_codex":[0.9997821,0.00003682941,0.00003689008,0.000048026,0.00007728089,0.00001879083],"domain_scores_gemma":[0.9998124,0.0001141456,0.00002321566,0.000007752532,0.00003488232,0.000007529793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006018358,0.0001087954,0.0002618692,0.02126657,0.000170605,0.0002646154,0.0001538326,0.002116755,0.0017222,0.07431277,0.01175331,0.8878084],"study_design_scores_gemma":[0.0000337181,0.0001600503,0.002150606,0.007262542,0.0002127604,0.002126123,0.0001535402,0.001027945,0.001375947,0.09577587,0.8896316,0.00008929482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003626229,0.9906321,0.003914419,0.000769828,0.0003456695,0.00001728178,0.0000384,0.00001582928,0.00390387],"genre_scores_gemma":[0.004975559,0.9896653,0.002657057,0.0003795714,0.0004129799,0.00004488885,0.00005558845,0.000004283043,0.001804833],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002581752,"threshold_uncertainty_score":0.007826328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219052627257522,"score_gpt":0.3821678429098192,"score_spread":0.349977316637244,"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."}}