{"id":"W4310336085","doi":"10.2196/40374","title":"Systematic Development of the ReWin Application: A Digital Therapeutic Rehabilitation Innovation for People With Stroke-related Disabilities in India","year":2022,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conceptualization; Rehabilitation; Context (archaeology); Stroke (engine); Health care; Scale (ratio); Intervention (counseling); Medicine; Psychology; Knowledge management; Nursing; Business; Computer science; Engineering; Political science; Physical therapy; Artificial intelligence","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":[0.03257427,0.0006811955,0.0009176575,0.004761436,0.002369704,0.004576486,0.001761178,0.001062087,0.002289747],"category_scores_gemma":[0.03821575,0.0004660018,0.001667527,0.002921382,0.002242784,0.002058221,0.005572218,0.001690621,0.0004397968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008368463,"about_ca_system_score_gemma":0.04147433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00626207,"about_ca_topic_score_gemma":0.01137242,"domain_scores_codex":[0.9760942,0.01524306,0.002162976,0.001036394,0.003886631,0.001576683],"domain_scores_gemma":[0.9646507,0.02023411,0.003078915,0.002987267,0.007825978,0.00122302],"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":[0.001000885,0.002674403,0.02700486,0.04903146,0.0003766968,0.001893892,0.08192834,0.002007679,0.00767342,0.02025812,0.01019477,0.7959555],"study_design_scores_gemma":[0.002260889,0.01722582,0.1511894,0.050715,0.005643591,0.001949865,0.1973209,0.003385367,0.04182376,0.00873145,0.5191,0.0006538939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.762165,0.01622419,0.03512114,0.005675126,0.0005464439,0.1113374,0.003482362,0.0008476921,0.06460065],"genre_scores_gemma":[0.7479251,0.0150762,0.1761139,0.002400552,0.0001059354,0.04712112,0.001935328,0.0001706065,0.009151254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03257427,"threshold_uncertainty_score":0.1722713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008971251205895083,"score_gpt":0.2630190690100004,"score_spread":0.2540478178041053,"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."}}