{"id":"W3015917701","doi":"10.2196/18400","title":"Adaptive Mobile Health Intervention for Adolescents with Asthma: Iterative User-Centered Development","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Context (archaeology); mHealth; Intrapersonal communication; Intervention (counseling); Asthma; Medicine; Crowdsourcing; Self-management; Psychology; Nursing; Psychological intervention; Computer science; Social psychology; Interpersonal communication","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":[0.009861751,0.0008995209,0.0004473304,0.000820286,0.0007436887,0.001083795,0.001658713,0.0006872045,0.003056022],"category_scores_gemma":[0.01666436,0.0004079113,0.0007243062,0.0003056407,0.0007242972,0.0009262935,0.003374493,0.0006648654,0.0004608896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028522,"about_ca_system_score_gemma":0.002806189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009778058,"about_ca_topic_score_gemma":0.002425008,"domain_scores_codex":[0.9947608,0.003866051,0.0002249094,0.0003474871,0.0005285767,0.0002721271],"domain_scores_gemma":[0.9942197,0.004138616,0.000293023,0.0003282244,0.0005773975,0.0004430484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001122033,0.008896849,0.03102167,0.004059135,0.0002176601,0.001061634,0.0474337,0.007186254,0.01811163,0.003374732,0.007775174,0.8697396],"study_design_scores_gemma":[0.009977074,0.07195771,0.1639214,0.01127937,0.003091849,0.003794028,0.1167073,0.1665996,0.09896626,0.03388455,0.3190339,0.0007870395],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7130363,0.0005933474,0.2322183,0.002097071,0.0001710863,0.03113146,0.0005750813,0.002762687,0.01741477],"genre_scores_gemma":[0.5002668,0.0004497727,0.472858,0.0003788109,0.00002291277,0.02341344,0.0002986362,0.00009990083,0.002211825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009861751,"threshold_uncertainty_score":0.05215454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015545263684936,"score_gpt":0.4464371028600336,"score_spread":0.34488257649154,"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."}}