{"id":"W4414116437","doi":"10.2196/70517","title":"Using mHealth to Predict Asthma Exacerbations in Children and Adolescents (Mobile Health for Kids With Asthma): Protocol for an Observational Study","year":2025,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Public Health Ontario; Children's Hospital of Eastern Ontario; Université de Montréal; Hospital for Sick Children; Université de Sherbrooke; University of Toronto; University of Alberta Hospital; University of Alberta; Université Laval; Institute for Clinical Evaluative Sciences; University of Ottawa; McGill University; McGill University Health Centre; Centre Hospitalier Universitaire de Sherbrooke; Centre Hospitalier Universitaire Sainte-Justine; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research","keywords":"mHealth; Observational study; Asthma; Psychological intervention; Protocol (science); Asthma exacerbations; Exacerbation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.02375164,0.003035408,0.004721951,0.001577602,0.004906904,0.00234465,0.002446046,0.003585677,0.03007131],"category_scores_gemma":[0.01810291,0.002446141,0.004372123,0.002330975,0.001830842,0.00196702,0.002135753,0.005806693,0.007933411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007044333,"about_ca_system_score_gemma":0.02348371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01179849,"about_ca_topic_score_gemma":0.01645776,"domain_scores_codex":[0.9906405,0.004480607,0.001880464,0.001001851,0.001013497,0.0009829943],"domain_scores_gemma":[0.9864572,0.00220436,0.002016354,0.001569625,0.006354427,0.001397938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.3587085,0.08478811,0.04206048,0.06370213,0.003642699,0.001848986,0.006369664,0.01342583,0.006873221,0.01405769,0.2145527,0.18997],"study_design_scores_gemma":[0.3750106,0.0660492,0.1421007,0.02438944,0.002269434,0.0004799832,0.004576884,0.01019076,0.004962135,0.009543945,0.3594328,0.0009941945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002569994,0.0001353785,0.001394794,0.0001384986,0.0001129751,0.9905891,0.004236898,0.00005144615,0.0007708633],"genre_scores_gemma":[0.0009907625,0.00005651178,0.001394765,0.00004381635,0.000009707253,0.9969394,0.0004360281,0.000002557954,0.0001264205],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.03007131,"threshold_uncertainty_score":0.1256122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3838322974380349,"score_gpt":0.6070023714867746,"score_spread":0.2231700740487397,"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."}}