{"id":"W4389508506","doi":"10.1186/s12890-023-02806-9","title":"Anticipating undiagnosed asthma in symptomatic adults with normal pre- and post-bronchodilator spirometry: a decision tool for bronchial challenge testing","year":2023,"lang":"en","type":"article","venue":"BMC Pulmonary Medicine","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Hôpital du Sacré-Cœur de Montréal; Vancouver General Hospital; Institut universitaire de cardiologie et de pneumologie de Québec; McGill University; Ottawa Hospital; Université Laval; University of Ottawa","funders":"Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Ottawa Hospital Research Institute; Université Laval","keywords":"Medicine; Asthma; Spirometry; Bronchodilator; Exhaled nitric oxide; Logistic regression; Univariate analysis; Population; Internal medicine; Receiver operating characteristic; Nomogram; Area under the curve; Physical therapy; Multivariate analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000607477,0.0003492698,0.0006871705,0.0006087852,0.0001641672,0.00001399486,0.000119998,0.0001397036,0.00004084141],"category_scores_gemma":[0.00255882,0.0002418572,0.00006596488,0.0009782639,0.0001970753,0.0001821505,0.00009031437,0.0002187014,0.00001227776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006818466,"about_ca_system_score_gemma":0.0002398159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009156278,"about_ca_topic_score_gemma":0.00006475902,"domain_scores_codex":[0.9974943,0.00007038498,0.0006614819,0.0005886383,0.000580669,0.0006044762],"domain_scores_gemma":[0.9971005,0.001856817,0.0001945494,0.0003371193,0.0001676869,0.0003433222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005168076,0.0004787138,0.7901987,0.003127122,0.0000381109,0.0009429593,0.001022915,0.00006207111,0.002953095,0.0000227319,0.0001382816,0.1958472],"study_design_scores_gemma":[0.00786694,0.005404259,0.959711,0.006280521,0.0001096793,0.0002407759,0.001441419,0.01834947,0.00003393839,0.00003091605,0.0002418171,0.0002892794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955418,0.001255567,0.0003488792,0.0003689332,0.0001486447,0.001849482,0.00002891131,0.0002068828,0.0002509705],"genre_scores_gemma":[0.9952929,0.00005477245,0.003117118,0.0002499613,0.0007200412,0.0002693109,0.0001187629,0.00007155837,0.0001055773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.195558,"threshold_uncertainty_score":0.986265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242624849837014,"score_gpt":0.2939255042277278,"score_spread":0.2714992557293577,"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."}}