{"id":"W3097276648","doi":"10.1183/23120541.00301-2020","title":"Newly developed multiple-breath washout reference equations from the CHILD Cohort Study: implications of poorly fitting equations","year":2020,"lang":"en","type":"article","venue":"ERJ Open Research","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of British Columbia; Child and Family Research Institute; University of Alberta; University of Manitoba; Children's Hospital Research Institute of Manitoba; BC Children's Hospital; University of Toronto; SickKids Foundation; Queen's University; McMaster University","funders":"Canadian Institutes of Health Research; AllerGen","keywords":"Medicine; Cohort; Lung function; Normative; Reference values; Statistics; Function (biology); Washout; Applied mathematics; Pediatrics; Internal medicine; Lung; Mathematics","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002389174,0.0002363788,0.0005152042,0.0001854641,0.001213519,0.0002534311,0.001924304,0.0001021145,0.001566668],"category_scores_gemma":[0.0096671,0.0001817301,0.0001054527,0.002062225,0.0004329591,0.0003379368,0.001935051,0.001315589,0.0004309275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004038869,"about_ca_system_score_gemma":0.002381665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009664789,"about_ca_topic_score_gemma":0.001558398,"domain_scores_codex":[0.9948229,0.0009850787,0.0007356292,0.0009438165,0.001787614,0.000724919],"domain_scores_gemma":[0.9917911,0.004284514,0.0001584356,0.00148814,0.001699935,0.0005778453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005404338,0.001096639,0.9652465,0.00007861516,0.0005219719,0.00003141871,0.003783073,0.00008259368,0.002174387,0.005630707,0.004817627,0.01599606],"study_design_scores_gemma":[0.002536396,0.0002267985,0.9823785,0.0001233858,0.0001058021,0.000003141204,0.005577722,0.00531266,0.0001874042,0.0004883856,0.002879516,0.0001802166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8039669,0.000590749,0.003573048,0.1014456,0.00006648874,0.01860861,0.001357004,0.0001241696,0.07026736],"genre_scores_gemma":[0.9946551,0.00004134641,0.001356666,0.0003812046,0.0002472468,0.001358885,0.0007018743,0.00005894032,0.001198734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1906882,"threshold_uncertainty_score":0.999346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2255364631730389,"score_gpt":0.438084186236471,"score_spread":0.2125477230634321,"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."}}