{"id":"W4385297774","doi":"10.1016/j.pmr.2023.06.026","title":"Technological Advances in Stroke Rehabilitation","year":2023,"lang":"en","type":"article","venue":"Physical Medicine and Rehabilitation Clinics of North America","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotchkiss Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Rehabilitation; Modalities; Physical medicine and rehabilitation; Robotics; Stroke recovery; Virtual reality; Clinical trial; Randomized controlled trial; Physical therapy; Artificial intelligence; Robot; Surgery; Computer science; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0005194704,0.0001808297,0.0007685571,0.0006945235,0.00004415298,0.000002817849,0.00007816973,0.00008922752,0.00001924142],"category_scores_gemma":[0.01575955,0.0001299726,0.0002029397,0.001550902,0.002418734,0.0001701429,0.00004338456,0.0003182352,0.00002660877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003782604,"about_ca_system_score_gemma":0.00005822683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001117415,"about_ca_topic_score_gemma":0.000008692087,"domain_scores_codex":[0.9979208,0.0001482199,0.0008023629,0.000436485,0.0004464126,0.0002457689],"domain_scores_gemma":[0.9853393,0.01376786,0.0002272104,0.0002931417,0.0002286579,0.0001438272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003014773,0.0005141649,0.5389023,0.0005752766,0.00002020073,0.000003463604,0.002141734,0.000149064,0.0002341041,0.001094697,0.0005824378,0.4554811],"study_design_scores_gemma":[0.002074029,0.008936543,0.9439939,0.0004455156,0.00005424785,0.000002292754,0.006096072,0.002325698,0.000006552164,0.006017122,0.02988777,0.0001602683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816155,0.0005427663,0.0001483024,0.01609391,0.000173903,0.0006315988,0.00001731239,0.0001376731,0.0006389926],"genre_scores_gemma":[0.9938129,0.001540596,0.00401404,0.0002596622,0.0001362484,0.00008789551,0.00005077794,0.00001672206,0.00008111021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4553208,"threshold_uncertainty_score":0.9925311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178242554085726,"score_gpt":0.3544467793323563,"score_spread":0.3366225239237837,"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."}}