{"id":"W3037485413","doi":"10.1080/15412555.2020.1779681","title":"Fractional Exhaled Nitric Oxide as an Inflammatory Biomarker in Chronic Obstructive Pulmonary Disease (COPD) with or without Concurrent Diagnosis of Asthma: The Canadian Cohort Obstructive Lung Disease (CanCOLD)","year":2020,"lang":"en","type":"article","venue":"COPD Journal of Chronic Obstructive Pulmonary Disease","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; St. Paul's Hospital; McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; COPD; Exhaled nitric oxide; Asthma; Internal medicine; Guideline; Cohort; Obstructive lung disease; Biomarker; Quartile; Spirometry; Physical therapy; Pathology; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001456582,0.0005170272,0.0004595397,0.0008835846,0.001498021,0.0008494306,0.001101952,0.0005470297,0.0007220591],"category_scores_gemma":[0.002381244,0.0001992602,0.0006842228,0.001692095,0.0004517434,0.0003329453,0.0008212368,0.0005459568,0.0001396462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006554772,"about_ca_system_score_gemma":0.009689849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.926915,"about_ca_topic_score_gemma":0.9419556,"domain_scores_codex":[0.9990952,0.00009007754,0.00004714343,0.0001749174,0.0004047929,0.0001878746],"domain_scores_gemma":[0.9988409,0.00007632667,0.0001847188,0.00005706538,0.0005655203,0.0002756433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002357999,0.00003700828,0.9936333,0.00005738195,0.0001005582,0.0000640815,0.0001965968,0.00009211364,0.000342631,0.00008123389,0.0006351869,0.00452417],"study_design_scores_gemma":[0.00001270984,0.00004744157,0.9984953,0.00001133805,0.00004553952,0.00007089316,0.0001303861,0.0002065041,0.00008151151,0.00001800718,0.0008722507,0.000008177268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907975,0.002897203,0.0003537765,0.0002089193,0.00003682897,0.00009418617,0.004236769,0.000009636719,0.001365122],"genre_scores_gemma":[0.995571,0.0006057245,0.0007251737,0.0000922387,0.00001744149,0.00004980392,0.002229968,0.000003481779,0.0007052003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07308495,"threshold_uncertainty_score":0.1470307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822112540048832,"score_gpt":0.2879345959074979,"score_spread":0.2697134705070096,"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."}}