{"id":"W3007254079","doi":"10.1002/lrh2.10217","title":"A user‐centered, learning asthma smartphone application for patients and providers","year":2020,"lang":"en","type":"article","venue":"Learning Health Systems","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Saint Louis University; Google","keywords":"Computer science; User-centered design; Scalability; Health care; Multimedia; Phone; Human–computer interaction","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":[0.004264783,0.0006191098,0.000664846,0.001055298,0.0008529632,0.00318912,0.001506515,0.003231154,0.01009957],"category_scores_gemma":[0.01242533,0.0004445073,0.001054241,0.0009406534,0.0005821954,0.003979892,0.001841548,0.001662099,0.006304227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006463825,"about_ca_system_score_gemma":0.002481005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009068465,"about_ca_topic_score_gemma":0.002458468,"domain_scores_codex":[0.9971213,0.001167555,0.0003244938,0.0002386942,0.001006512,0.0001413734],"domain_scores_gemma":[0.9939867,0.003080483,0.0004200177,0.0004123116,0.001706412,0.0003939779],"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":[0.0004737921,0.0007921324,0.006915902,0.007225518,0.0001103085,0.002199724,0.003963271,0.0009404473,0.0163419,0.005997705,0.1000729,0.8549665],"study_design_scores_gemma":[0.0006478495,0.002790399,0.01877686,0.006942885,0.0007451932,0.01292284,0.005508868,0.01378555,0.02936334,0.01633089,0.8917202,0.000465188],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1533319,0.03904759,0.5142596,0.09385169,0.003156603,0.01012488,0.005053465,0.02557622,0.1555981],"genre_scores_gemma":[0.3729818,0.01910303,0.5023642,0.03197177,0.001324361,0.005024421,0.003525298,0.001017508,0.06268778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01009957,"threshold_uncertainty_score":0.03378642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04088728233482158,"score_gpt":0.3810999348892269,"score_spread":0.3402126525544053,"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."}}