{"id":"W3017170620","doi":"10.1080/09638288.2020.1752317","title":"Motor learning in neurological rehabilitation","year":2020,"lang":"en","type":"review","venue":"Disability and Rehabilitation","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish Rehabilitation Hospital","funders":"Fonds de Recherche du Québec - Santé","keywords":"Motor learning; Rehabilitation; Physical medicine and rehabilitation; Motor control; Motor skill; Neurorehabilitation; Psychology; Virtual reality; Computer science; Psychological intervention; Human–computer interaction; Cognitive psychology; Neuroscience; Medicine","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001085366,0.0005510514,0.002395659,0.0003469672,0.0001113544,0.00004608809,0.0001112919,0.0007364712,0.0000912544],"category_scores_gemma":[0.01358275,0.0004297517,0.001090686,0.0008123438,0.001352319,0.0001995061,0.00009220006,0.001330209,0.00006577667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918628,"about_ca_system_score_gemma":0.0002475401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002450262,"about_ca_topic_score_gemma":0.00001300449,"domain_scores_codex":[0.9951003,0.001426621,0.001459952,0.001237933,0.0004056176,0.00036961],"domain_scores_gemma":[0.9882234,0.01063151,0.0002999209,0.0004387655,0.0001117001,0.0002947148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000232053,0.0005639198,0.06151396,0.03720773,0.00004447894,0.00000807786,0.0009090785,0.000004101612,0.000001431481,0.0004550169,0.00008810879,0.898972],"study_design_scores_gemma":[0.0008855356,0.004035885,0.132924,0.005158614,0.0003562115,0.00004169107,0.0006138464,0.0002436287,3.68162e-8,0.0005824423,0.8547465,0.0004115744],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02278947,0.9658342,0.00001489657,0.006209745,0.0003375472,0.004186493,0.00003028749,0.0002433851,0.0003539672],"genre_scores_gemma":[0.004718893,0.9904093,0.003502039,0.0001163793,0.0002358626,0.0006167211,0.0002045648,0.00007381005,0.0001224422],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8985605,"threshold_uncertainty_score":0.9998154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581055750425277,"score_gpt":0.33083457066031,"score_spread":0.3050240131560573,"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."}}