{"id":"W4410488006","doi":"10.1016/j.chest.2025.04.046","title":"Prediction Pathway for Severe Asthma Exacerbations","year":2025,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"UCB Pharma; Efficacy and Mechanism Evaluation Programme; National Medical Research Council; Sanofi Genzyme; Genentech; F. Hoffmann-La Roche; Cerecor; Grifols; Kuwait Foundation for the Advancement of Sciences; Shionogi; AstraZeneca; Allergy Therapeutics; Regeneron Pharmaceuticals; Mylan; Seqirus; Danone; Pfizer; Incyte; Medical Research Council; Teva Pharmaceutical Industries; Daiichi Sankyo Europe; Gilead Sciences; Respiratory Effectiveness Group; Eli Lilly and Company; Chiesi Farmaceutici; Sanofi; Amgen; Novartis Pharmaceuticals UK Limited; AKL Research and Development; GlaxoSmithKline","keywords":"Asthma; Asthma exacerbations; Bayesian network; Bayesian probability; Pathway analysis; Medicine; Computer science; Intensive care medicine; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002592176,0.0007133853,0.0004466254,0.001599374,0.0004350432,0.001132866,0.0006803737,0.0005504193,0.004098399],"category_scores_gemma":[0.01525817,0.0002608897,0.00121362,0.0006501678,0.0004739934,0.0009491023,0.0009763104,0.00104535,0.0003857548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218965,"about_ca_system_score_gemma":0.002100583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007091283,"about_ca_topic_score_gemma":0.005830943,"domain_scores_codex":[0.9985607,0.0005828834,0.0001138914,0.000342092,0.0002874833,0.0001129669],"domain_scores_gemma":[0.9905611,0.006400777,0.001518765,0.0002248484,0.0009157439,0.0003787759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006018752,0.0002319758,0.7966606,0.0003466044,0.0004395666,0.0006142301,0.0004167351,0.1311317,0.0008106118,0.01079604,0.002282069,0.05566796],"study_design_scores_gemma":[0.00007758767,0.0002296443,0.1398403,0.0002543,0.0004358352,0.001401868,0.0002183608,0.8072891,0.001108065,0.04625616,0.002831286,0.0000575356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7838784,0.00130682,0.1983977,0.002830865,0.00006956138,0.0004552865,0.004539894,0.0004799364,0.008041521],"genre_scores_gemma":[0.9867352,0.0002257634,0.01151476,0.00005081152,0.00001644544,0.00006760976,0.0009223337,0.00001610926,0.0004510063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007091283,"threshold_uncertainty_score":0.01410002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208043554041302,"score_gpt":0.2778367118916803,"score_spread":0.2570323564875501,"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."}}