{"id":"W3158423356","doi":"10.2196/16496","title":"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":"article","venue":"JMIR mhealth and uhealth","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cohort; Medication adherence; Mobile phone; Stroke (engine); Emergency medicine; Secondary prevention; Short Message Service; Clinical endpoint; Medical emergency; Physical therapy; Internal medicine; Randomized controlled trial; Computer science","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":[0.002080135,0.0004708285,0.0006337279,0.0009921555,0.0008533974,0.000974449,0.0005546221,0.0006746484,0.001732581],"category_scores_gemma":[0.004814646,0.0005270758,0.001180739,0.001268242,0.0002595955,0.0008047344,0.0007572706,0.001089145,0.0005606421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006198797,"about_ca_system_score_gemma":0.0008416573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008814375,"about_ca_topic_score_gemma":0.007317304,"domain_scores_codex":[0.9982442,0.0004616106,0.0002114341,0.0003547598,0.0004304326,0.0002976213],"domain_scores_gemma":[0.9974821,0.0003097244,0.0008403394,0.0004713531,0.0004100059,0.0004864889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001745794,0.001672535,0.9923631,0.00002640575,0.0001907378,0.00007688538,0.0004348652,0.00002498551,0.0002186335,0.00001277444,0.0001702965,0.00306296],"study_design_scores_gemma":[0.0003108571,0.003139272,0.9950173,0.00002007112,0.0001406294,0.0001415393,0.000520705,0.0002773945,0.0001410192,0.00001333234,0.0002603518,0.00001749803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993699,0.00003591937,0.00005927149,0.000008126418,0.000003956675,0.00009977698,0.0002795885,0.000002887608,0.0001406597],"genre_scores_gemma":[0.998686,0.00007707147,0.0001527307,0.00003438802,0.000009928129,0.0001545323,0.0006054954,0.000003683623,0.0002761776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008814375,"threshold_uncertainty_score":0.01752609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04906917377586919,"score_gpt":0.3625691033855818,"score_spread":0.3134999296097126,"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."}}