{"id":"W4323033776","doi":"10.1016/s2589-7500(23)00020-1","title":"Development and validation of an electronic daily control score for asthma (e-DASTHMA): a real-world direct patient data study","year":2023,"lang":"en","type":"article","venue":"The Lancet Digital Health","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Directorate-General for Communications Networks, Content and Technology; European Institute of Innovation and Technology; HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; European Commission; GlaxoSmithKline; Mylan; Novartis; Conseil Régional Provence-Alpes-Côte d'Azur","keywords":"Asthma; Medicine; Psychology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000602613,0.0001260274,0.0004194618,0.00008353479,0.0001424518,0.00003484943,0.0001614687,0.00001753439,0.00000260707],"category_scores_gemma":[0.00005978675,0.00008071509,0.00002521511,0.0002463788,0.00004719182,0.0001800724,0.00008372477,0.00007934235,0.000004644808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005886262,"about_ca_system_score_gemma":0.0005705502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004277479,"about_ca_topic_score_gemma":0.0002143166,"domain_scores_codex":[0.9986374,0.00007017295,0.0003426704,0.0002968366,0.0002586081,0.0003942698],"domain_scores_gemma":[0.9989718,0.00013137,0.0001606339,0.0005306352,0.00005523579,0.0001503734],"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":[0.004191217,0.001843201,0.147109,0.001058589,0.0003114826,0.00002675891,0.004988273,0.00005731076,0.0000676158,0.0002667143,0.009944576,0.8301352],"study_design_scores_gemma":[0.01081236,0.008808622,0.8579539,0.0004319408,0.00009525361,0.00001449929,0.00467936,0.002056447,0.0005752133,0.0002492935,0.1139361,0.0003870399],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963261,0.000221576,0.00003731656,0.000802857,0.00004857473,0.001733768,0.0004908235,0.00008905094,0.0002498613],"genre_scores_gemma":[0.9982439,0.00003556348,0.00005960455,0.0004562795,0.000175626,0.00008305183,0.0008261049,0.00002209918,0.00009781299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8297482,"threshold_uncertainty_score":0.3291466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06282727546248022,"score_gpt":0.3540528653601813,"score_spread":0.291225589897701,"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."}}