{"id":"W2955791255","doi":"10.1080/02770903.2019.1640728","title":"Identifying an effective mobile health application for the self-management of allergic rhinitis and asthma in Australia","year":2019,"lang":"en","type":"article","venue":"Journal of Asthma","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre","funders":"","keywords":"mHealth; Asthma; Medicine; Self-management; Usability; Pharmacy; Asthma management; Mobile apps; Android (operating system); Multimedia; Family medicine; World Wide Web; Computer science; Nursing; Artificial intelligence; Internal medicine; Psychological intervention","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001804007,0.0002609591,0.0002825745,0.001007946,0.0006181331,0.001123171,0.0003755789,0.0005521712,0.002336074],"category_scores_gemma":[0.007356014,0.0002009835,0.0003639467,0.0006014446,0.0002472272,0.001080838,0.0009085092,0.0002811181,0.0006610589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005674625,"about_ca_system_score_gemma":0.002268807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005605899,"about_ca_topic_score_gemma":0.01009235,"domain_scores_codex":[0.9988814,0.0003142099,0.0001486054,0.00009140078,0.0004489138,0.0001154714],"domain_scores_gemma":[0.9979085,0.0006829124,0.0004433391,0.00004686268,0.0007587665,0.0001597073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005400158,0.001817159,0.2456547,0.007583764,0.00007827517,0.002046248,0.01303708,0.0004314103,0.02624217,0.0007877215,0.004471134,0.6973103],"study_design_scores_gemma":[0.0001738348,0.004947083,0.9091498,0.00397008,0.0003487507,0.002986873,0.01369763,0.00503451,0.008200706,0.0005893397,0.05080682,0.00009452038],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796633,0.003670078,0.002754796,0.001143934,0.00004113021,0.001946761,0.0002915961,0.0001027742,0.01038568],"genre_scores_gemma":[0.9536397,0.004163599,0.03500798,0.0004593786,0.00002974017,0.0009733387,0.0003835928,0.00001513008,0.005327404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005605899,"threshold_uncertainty_score":0.01114655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536911705068783,"score_gpt":0.3334707171733992,"score_spread":0.3181016001227113,"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."}}