{"id":"W2897992630","doi":"10.2196/11988","title":"“How Is My Child’s Asthma?” Digital Phenotype and Actionable Insights for Pediatric Asthma","year":2018,"lang":"en","type":"article","venue":"JMIR Pediatrics and Parenting","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Mental Health","keywords":"Asthma; Medicine; Asthma management; Internal medicine","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":[0.00233392,0.0003467119,0.0002512452,0.0008747777,0.0005362661,0.001646766,0.000505066,0.0006578129,0.004878401],"category_scores_gemma":[0.0100607,0.0001343102,0.0004261591,0.0005417126,0.001030223,0.002938305,0.002053068,0.001248477,0.0008069663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008568555,"about_ca_system_score_gemma":0.0009194162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051754,"about_ca_topic_score_gemma":0.002457113,"domain_scores_codex":[0.998751,0.0007862432,0.0000810246,0.00009950735,0.0001903072,0.0000918919],"domain_scores_gemma":[0.9959431,0.002372781,0.0004488932,0.0003080564,0.0004450039,0.0004821849],"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":[0.0003160503,0.000204424,0.06695804,0.001721348,0.00005132094,0.001682973,0.01944878,0.0002632283,0.003135582,0.02086715,0.09505878,0.7902924],"study_design_scores_gemma":[0.0000813754,0.0007972049,0.209783,0.004536512,0.0002481662,0.01316272,0.03100146,0.001360411,0.003249733,0.03293204,0.7026992,0.0001481185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4412022,0.09963882,0.07347812,0.206063,0.004858832,0.001175718,0.006842922,0.003140286,0.1636001],"genre_scores_gemma":[0.8289621,0.03751184,0.1039793,0.01542757,0.001182348,0.0007798588,0.001690865,0.000223947,0.01024212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004878401,"threshold_uncertainty_score":0.01631987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307320800755517,"score_gpt":0.2594492709978614,"score_spread":0.2463760629903063,"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."}}