{"id":"W3024384408","doi":"10.2196/17216","title":"Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":229,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smartwatch; Physical medicine and rehabilitation; Rehabilitation; Stroke (engine); Chronic stroke; Medicine; Physical therapy; Wearable computer; Computer science; Psychology; Embedded system; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002184943,0.0006549896,0.0009125859,0.0008160469,0.00035776,0.0003835506,0.0003582865,0.0006527207,0.001813599],"category_scores_gemma":[0.001987767,0.0002633804,0.0006957256,0.0003423352,0.000461068,0.0007296904,0.0005529394,0.0003511589,0.0007333415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002770165,"about_ca_system_score_gemma":0.0003919173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094798,"about_ca_topic_score_gemma":0.001239428,"domain_scores_codex":[0.9992802,0.0002486746,0.0001045961,0.0001390643,0.0001490621,0.00007850727],"domain_scores_gemma":[0.9986009,0.000260455,0.0001384343,0.0001393902,0.0006734942,0.0001872191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02160789,0.06018703,0.6430784,0.00153402,0.001414272,0.001443737,0.002840656,0.003689563,0.03557013,0.0001857822,0.002080172,0.2263683],"study_design_scores_gemma":[0.001943824,0.1864321,0.7761038,0.0001227152,0.001244353,0.001131402,0.002358059,0.01610764,0.01206589,0.00009252231,0.00228269,0.0001150032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972827,0.0001222471,0.001627132,0.00001848774,0.00001188541,0.0005492286,0.000142356,0.00002790736,0.0002180801],"genre_scores_gemma":[0.9946136,0.0002316059,0.002836359,0.00006657939,0.00002993973,0.000979915,0.0005835669,0.00000873614,0.0006496722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002184943,"threshold_uncertainty_score":0.01155519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1633008547547324,"score_gpt":0.44460815785594,"score_spread":0.2813073031012076,"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."}}