{"id":"W4247535184","doi":"10.2196/19454","title":"Correction: Treatment Adherence and Secondary Prevention of Ischemic Stroke Among Discharged Patients Using Mobile Phone- and WeChat-Based Improvement Services: Cohort Study","year":2020,"lang":"en","type":"erratum","venue":"JMIR mhealth and uhealth","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Secondary prevention; Mobile phone; Medicine; Ischemic stroke; Cohort; Stroke (engine); Cohort study; mHealth; Phone; Physical therapy; Computer science; Psychological intervention; Internal medicine; Nursing; Telecommunications; Ischemia; 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":[0.01397966,0.004094339,0.003767917,0.006196322,0.003488607,0.006310061,0.00634829,0.01016015,0.06612913],"category_scores_gemma":[0.1945363,0.00249048,0.00409127,0.007735162,0.002073386,0.003375701,0.002800792,0.01286883,0.02655491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007415979,"about_ca_system_score_gemma":0.01720528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08617228,"about_ca_topic_score_gemma":0.06815352,"domain_scores_codex":[0.9856366,0.002833864,0.004252443,0.001747852,0.004323402,0.001205824],"domain_scores_gemma":[0.8902085,0.02922671,0.008167476,0.006090212,0.06226996,0.004037091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004722381,0.000007680464,0.0002795578,0.0003149051,0.00003673206,0.0000818719,0.00002364529,0.00002761023,0.000008258027,0.0002117761,0.9967552,0.002205577],"study_design_scores_gemma":[0.001066549,0.00009576335,0.01091488,0.005967089,0.0006064234,0.0008383996,0.0004682945,0.0008365838,0.0003624215,0.001999137,0.9766052,0.0002392715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0001510532,0.0009151346,0.0002641657,0.04354981,0.9472304,0.00005780592,0.00675915,0.0001611204,0.0009114147],"genre_scores_gemma":[0.02791955,0.0138134,0.008325587,0.2298082,0.5425211,0.002362415,0.02029936,0.002018492,0.1529319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08617228,"threshold_uncertainty_score":0.221224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03452990434745718,"score_gpt":0.3594192795830263,"score_spread":0.3248893752355691,"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."}}