{"id":"W4409222394","doi":"10.1212/wnl.0000000000212097","title":"SmartRehab: Enhancing Stroke Recovery through Automated Telerehabilitation (P7-14.011)","year":2025,"lang":"en","type":"article","venue":"Neurology","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Telerehabilitation; Stroke (engine); Physical medicine and rehabilitation; Medicine; Telemedicine; Physical therapy; Political science; Engineering; Health care","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":[0.00375237,0.0005728689,0.0005327295,0.0006338091,0.0003214332,0.0006293473,0.0007839484,0.0006136347,0.009386438],"category_scores_gemma":[0.003112511,0.0002662526,0.000594419,0.0003680008,0.0006257783,0.0006929709,0.001467586,0.0004868903,0.003336246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002712004,"about_ca_system_score_gemma":0.001246523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824815,"about_ca_topic_score_gemma":0.002854216,"domain_scores_codex":[0.9988129,0.0005803647,0.00008904626,0.0001418159,0.0002109188,0.0001649451],"domain_scores_gemma":[0.997856,0.0009917526,0.0001549135,0.0002684431,0.0003843675,0.0003445815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01583037,0.01428335,0.06262578,0.001557342,0.0005697725,0.0003478336,0.001645653,0.003243611,0.02108762,0.001805705,0.02686585,0.8501371],"study_design_scores_gemma":[0.02407591,0.1430467,0.6134206,0.0005822761,0.00198639,0.001567172,0.002263315,0.02284542,0.07510263,0.002727291,0.1119253,0.0004569019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489722,0.0004082677,0.01671375,0.0005857606,0.0001258554,0.005852313,0.005486546,0.004002008,0.0178533],"genre_scores_gemma":[0.9021975,0.000638798,0.06392959,0.001063161,0.0001033937,0.009455371,0.009309764,0.000327395,0.0129751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009386438,"threshold_uncertainty_score":0.0314008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009650193412420198,"score_gpt":0.2867238206178927,"score_spread":0.2770736272054725,"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."}}