{"id":"W1542385728","doi":"10.1016/j.anai.2015.03.026","title":"Tailoring interventions: identifying predictors of poor asthma control","year":2015,"lang":"en","type":"article","venue":"Annals of Allergy Asthma & Immunology","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; McGill University; Centre for Interdisciplinary Research in Rehabilitation; McGill University Health Centre","funders":"","keywords":"Asthma; Medicine; Psychological intervention; Quality of life (healthcare); Logistic regression; Socioeconomic status; Generalized estimating equation; Exacerbation; Odds ratio; Health belief model; Odds; Physical therapy; Family medicine; Environmental health; Public health; Health education; Psychiatry; Internal medicine; Nursing; Population","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":[0.006710089,0.0009904263,0.001655158,0.001357654,0.0004963237,0.001533161,0.0008003638,0.001565747,0.001598617],"category_scores_gemma":[0.0315584,0.0003314833,0.001386332,0.001799444,0.0004054362,0.001446892,0.0008413013,0.001906713,0.0003081908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006225143,"about_ca_system_score_gemma":0.001787399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003575556,"about_ca_topic_score_gemma":0.005794579,"domain_scores_codex":[0.9923995,0.004221304,0.001014009,0.0008644716,0.001043135,0.0004576652],"domain_scores_gemma":[0.980343,0.0129133,0.004099932,0.001054559,0.0007415491,0.0008476817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001086125,0.001380394,0.9241401,0.0003067465,0.0009851876,0.00004987434,0.0001650778,0.001270227,0.0002532396,0.000136974,0.001218523,0.06900769],"study_design_scores_gemma":[0.0002774044,0.003151138,0.9778535,0.0005055298,0.002026281,0.0001619533,0.0003767415,0.01112183,0.0009504181,0.001924714,0.001595915,0.00005456251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972752,0.008962987,0.006586056,0.003847285,0.0002673857,0.0004958868,0.001630148,0.0001942634,0.005263888],"genre_scores_gemma":[0.9939481,0.001216355,0.003494004,0.0004515819,0.0000913293,0.0001461679,0.0003976963,0.00001367641,0.0002410527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006710089,"threshold_uncertainty_score":0.03548676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07130425459772048,"score_gpt":0.3387688725622096,"score_spread":0.2674646179644891,"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."}}