{"id":"W2900068815","doi":"10.2147/jaa.s178531","title":"Matched cohort study of therapeutic strategies to prevent preschool wheezing/asthma attacks","year":2018,"lang":"en","type":"article","venue":"Journal of Asthma and Allergy","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"TD Bank Group; University of Toronto","funders":"Efficacy and Mechanism Evaluation Programme; National Institutes of Health; AstraZeneca; Respiratory Effectiveness Group; Purdue University; Regeneron Pharmaceuticals; Teva Pharmaceutical Industries; AKL Research and Development; Pfizer; British Lung Foundation; Sanofi; Amgen; University of Manchester; Mylan; GlaxoSmithKline","keywords":"Medicine; Asthma; Medical prescription; Pediatrics; Wheeze; Cohort; Leukotriene receptor; Odds ratio; Population; Cohort study; Corticosteroid; Montelukast; Internal medicine; Environmental health","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":[0.002066982,0.0002800216,0.0003764902,0.0005012782,0.0006387335,0.0005056218,0.0005639217,0.0005712762,0.002504556],"category_scores_gemma":[0.005177069,0.0003685164,0.0007103285,0.0006082974,0.0002167614,0.0004301633,0.0004741763,0.0007239918,0.0003251586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004812532,"about_ca_system_score_gemma":0.0006139108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01271741,"about_ca_topic_score_gemma":0.007510584,"domain_scores_codex":[0.9982243,0.0005262233,0.0001426683,0.0006035796,0.0002735942,0.0002295809],"domain_scores_gemma":[0.9977882,0.0003422899,0.0007184169,0.000458263,0.0003208507,0.0003720369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00213346,0.0001864976,0.9946805,0.00002508725,0.0005007943,0.0001208119,0.00008476729,0.00006220034,0.0002452091,0.00009656949,0.0003663393,0.001497687],"study_design_scores_gemma":[0.0002328988,0.001615291,0.9959257,0.00001373594,0.0002676598,0.0002841116,0.0001750164,0.0004349184,0.0001302217,0.00005321936,0.0008587773,0.000008612061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969733,0.0004768005,0.0003258926,0.00004285757,0.00002946749,0.00007416651,0.001522466,0.00000626667,0.0005488019],"genre_scores_gemma":[0.9986215,0.00008890497,0.0001814852,0.00004345296,0.0000134538,0.00004341453,0.0007640637,0.00000316214,0.000240571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01271741,"threshold_uncertainty_score":0.02528679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376174750646738,"score_gpt":0.298630527174059,"score_spread":0.2848687796675916,"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."}}