{"id":"W2896265459","doi":"10.2196/10956","title":"A Patient-Centered Mobile Health System That Supports Asthma Self-Management (breathe): Design, Development, and Utilization","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Victoria Hospital; St. Michael's Hospital; Kingston Health Sciences Centre; Institute for Clinical Evaluative Sciences; Public Health Ontario; Hospital for Sick Children; Canadian Lung Association; Kingston General Hospital; SickKids Foundation; University Health Network; Hôtel-Dieu Grace Healthcare; Western University; University of Toronto; University of Waterloo","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Asthma; mHealth; Self-management; Asthma management; Medicine; Intensive care medicine; Computer science; Psychological intervention; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002275314,0.000319095,0.0003328181,0.0003992405,0.0002988364,0.0006557261,0.0005355523,0.0005403828,0.002156334],"category_scores_gemma":[0.002915162,0.0002026648,0.0003084895,0.0001912598,0.0002677295,0.0006115262,0.001141942,0.0003726818,0.0005229366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003987299,"about_ca_system_score_gemma":0.001161671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004656967,"about_ca_topic_score_gemma":0.000635402,"domain_scores_codex":[0.9989812,0.0004118037,0.00009737052,0.0001468905,0.0002369964,0.0001256583],"domain_scores_gemma":[0.998642,0.000514044,0.0001472944,0.0001404014,0.0002608515,0.0002953913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.003600166,0.01008062,0.175747,0.001981724,0.0001848274,0.001565628,0.005469933,0.003345063,0.06507099,0.002414376,0.00669065,0.7238491],"study_design_scores_gemma":[0.006131957,0.07801533,0.6005369,0.00115239,0.001337242,0.00635036,0.007302029,0.09096982,0.102239,0.003526336,0.1018749,0.0005637286],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415393,0.0003541872,0.04660888,0.0004331699,0.00004346114,0.006738025,0.0006761687,0.000931198,0.00267558],"genre_scores_gemma":[0.884935,0.0003906456,0.1040209,0.0006854857,0.00005011086,0.006652737,0.0006662174,0.00006505075,0.002533981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002275314,"threshold_uncertainty_score":0.01203316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09178501829826315,"score_gpt":0.416643074244042,"score_spread":0.3248580559457789,"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."}}