{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009528559,0.0006588677,0.001905249,0.0003051245,0.0004232585,0.00005205323,0.0000890724,0.0006225368,0.0000539169],"category_scores_gemma":[0.00002619889,0.0005583895,0.0001064099,0.0003074601,0.0001128446,0.0001737884,0.0000816348,0.001222613,0.000001444631],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007276337,"about_ca_system_score_gemma":0.005969875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02163164,"about_ca_topic_score_gemma":0.002540758,"domain_scores_codex":[0.9951687,0.0004359781,0.00167911,0.001212587,0.0007094633,0.0007941834],"domain_scores_gemma":[0.9959292,0.00008386205,0.001438533,0.0005137058,0.0003214491,0.001713255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008039101,0.002042404,0.8005987,0.05848893,0.0002540727,0.00001324333,0.004767166,4.248052e-7,0.00002071786,0.00000124471,0.02756164,0.1054475],"study_design_scores_gemma":[0.01175222,0.03612223,0.8812975,0.004307917,0.0008224944,0.00002751989,0.006003334,0.004232859,0.00002238202,0.000002304783,0.05471178,0.0006974409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778509,0.003874949,0.00002044689,0.000269615,0.005730845,0.01108593,0.0004290681,0.00007731345,0.0006609428],"genre_scores_gemma":[0.985158,0.004291112,0.0001246779,0.0007392216,0.000960961,0.001108391,0.001535656,0.0001055524,0.005976476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1047501,"threshold_uncertainty_score":0.9996868,"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."}}