{"id":"W2619701658","doi":"10.2196/resprot.7106","title":"Using Beta-Version mHealth Technology for Team-Based Care Management to Support Stroke Prevention: An Assessment of Utility and Challenges","year":2017,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Institute of Neurological Disorders and Stroke","keywords":"Health care; Health information technology; mHealth; Nursing; Medicine; Community health; Psychology; Medical education; Knowledge management; Computer science; Public health; 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":[0.021703,0.0003961915,0.0003049643,0.001374787,0.0005875897,0.002038835,0.0006872893,0.0005469184,0.001146798],"category_scores_gemma":[0.05371806,0.0003007061,0.000624664,0.001114467,0.0005958251,0.002786696,0.002311213,0.0005765453,0.0001905212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318618,"about_ca_system_score_gemma":0.00198668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00188035,"about_ca_topic_score_gemma":0.002829309,"domain_scores_codex":[0.9899524,0.006021355,0.001102231,0.0003286813,0.002147812,0.0004475371],"domain_scores_gemma":[0.957899,0.03141098,0.003792604,0.001515615,0.004218448,0.00116341],"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":[0.001116394,0.001426551,0.4486313,0.001488155,0.0002162504,0.0004983165,0.04333024,0.0004946485,0.001834163,0.0005815486,0.002328032,0.4980544],"study_design_scores_gemma":[0.0003806164,0.01287341,0.8938357,0.002624711,0.0004589714,0.002416826,0.05861579,0.007088349,0.003959293,0.0009396946,0.01659887,0.0002076987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.9947398,0.0006238368,0.001505416,0.0005083475,0.00001609698,0.0004033091,0.0001461581,0.00005365629,0.002003277],"genre_scores_gemma":[0.9914629,0.001006474,0.006248612,0.0002116432,0.00002162676,0.0005351293,0.0001583454,0.00001680863,0.0003384657],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.021703,"threshold_uncertainty_score":0.1147778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4357626189647205,"score_gpt":0.6248024406231872,"score_spread":0.1890398216584667,"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."}}