{"id":"W4229376510","doi":"10.1016/j.rmed.2022.106859","title":"External validation of lung function predictions in real-world cohorts of COPD","year":2022,"lang":"en","type":"article","venue":"Respiratory Medicine","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Institute for Clinical and Translational Research, University of Wisconsin, Madison; University of Maryland, Baltimore County; American Lung Association","keywords":"Medicine; COPD; Cohort; Lung function; Population; Prospective cohort study; Mean squared error; Sample size determination; Standard deviation; Statistics; Cohort study; Confidence interval; Standard error; Internal medicine; Lung; Mathematics; 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":[0.0410683,0.001815686,0.001248297,0.001534392,0.001302183,0.002716115,0.002569492,0.002685266,0.002057959],"category_scores_gemma":[0.07758465,0.0006143358,0.002032818,0.0009938651,0.002461413,0.001531923,0.003333783,0.002012698,0.002125227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006859743,"about_ca_system_score_gemma":0.001430223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00253407,"about_ca_topic_score_gemma":0.002710884,"domain_scores_codex":[0.9815589,0.009580993,0.001120275,0.004834129,0.002239258,0.0006665712],"domain_scores_gemma":[0.94347,0.02843317,0.003485154,0.01591437,0.007263733,0.001433556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004312343,0.001138844,0.9366185,0.0003373455,0.002685096,0.0003676386,0.001418732,0.01407152,0.005270521,0.00061495,0.008440156,0.0247244],"study_design_scores_gemma":[0.001163756,0.002189243,0.8945225,0.0003517012,0.00167335,0.001617185,0.0007823872,0.0711354,0.009608546,0.002636098,0.01416395,0.000155876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743248,0.0006750137,0.01439486,0.0002852442,0.0003276944,0.000420139,0.007035864,0.0005117472,0.002024682],"genre_scores_gemma":[0.9725733,0.0001131825,0.004389814,0.0002666791,0.0001127952,0.000349547,0.02130561,0.0001385358,0.0007505982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0410683,"threshold_uncertainty_score":0.2171925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03517405795356483,"score_gpt":0.3355254987790255,"score_spread":0.3003514408254607,"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."}}