{"id":"W2951132312","doi":"10.2196/13503","title":"A Smart and Multifaceted Mobile Health System for Delivering Evidence-Based Secondary Prevention of Stroke in Rural China: Design, Development, and Feasibility Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Mobile Research Institute; Economic and Social Research Council; Medical Research Council; Department for International Development; Wellcome Trust","keywords":"mHealth; Context (archaeology); Telemedicine; Health care; Service delivery framework; Medicine; Nursing; Knowledge management; Business; Process management; Service (business); Computer science; Marketing; Psychological intervention","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":[0.007831776,0.0006122056,0.0004911684,0.001362192,0.0009732336,0.0006580486,0.0008833876,0.0006704837,0.00266118],"category_scores_gemma":[0.004524195,0.0004172619,0.0006292186,0.0005390355,0.0008314819,0.0008231308,0.001151672,0.000339442,0.0002546762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833515,"about_ca_system_score_gemma":0.007437157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005871219,"about_ca_topic_score_gemma":0.006178377,"domain_scores_codex":[0.9972135,0.001641153,0.0002192553,0.0001914216,0.0003341411,0.0004004855],"domain_scores_gemma":[0.997714,0.0008392488,0.000235789,0.000170717,0.0005484428,0.0004918133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008840224,0.07573585,0.288813,0.0122094,0.0005767035,0.005464336,0.04610674,0.01238228,0.05918015,0.004737168,0.003166238,0.4827879],"study_design_scores_gemma":[0.01592172,0.3576728,0.5075167,0.001242863,0.001328739,0.001124292,0.05279847,0.02426672,0.01648175,0.001409597,0.01989611,0.0003401768],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839107,0.00008875642,0.002705579,0.0001715301,0.00001035388,0.01192771,0.0001334981,0.00003845112,0.001013503],"genre_scores_gemma":[0.9544576,0.0003401328,0.02928266,0.0002189405,0.00001579771,0.01465147,0.0001397641,0.00000963228,0.000883971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007831776,"threshold_uncertainty_score":0.04141891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07893139453115926,"score_gpt":0.3909763058145204,"score_spread":0.3120449112833611,"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."}}