{"id":"W2790316904","doi":"10.1111/resp.13258","title":"Ethnic differences in spirometry measurements in China: Results from a large community‐based epidemiological study","year":2018,"lang":"en","type":"article","venue":"Respirology","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Servier; Sanofi; GlaxoSmithKline; Boehringer Ingelheim; AstraZeneca Canada; AstraZeneca","keywords":"Medicine; Spirometry; Demography; Anthropometry; Ethnic group; Confounding; Vital capacity; Socioeconomic status; Epidemiology; Gerontology; Internal medicine; Asthma; Environmental health; Population; Lung function; Lung","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004487798,0.0003153872,0.001052725,0.0007157992,0.000138496,0.000009068768,0.0005264275,0.0003509211,0.0005063154],"category_scores_gemma":[0.005159458,0.000250139,0.0001151008,0.001003702,0.0005445203,0.0000623247,0.0004003122,0.001671217,0.0001251068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004753504,"about_ca_system_score_gemma":0.0002037254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005881198,"about_ca_topic_score_gemma":0.009190295,"domain_scores_codex":[0.9915271,0.005357539,0.000896818,0.000720732,0.0005597861,0.000937965],"domain_scores_gemma":[0.9967753,0.001607322,0.0001623101,0.001072761,0.0001131416,0.0002692235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004944233,0.004451066,0.9859422,0.00004103997,0.0000668694,0.0002579504,0.0007960646,0.000002565077,0.001263906,0.00001281929,0.00009630142,0.002124985],"study_design_scores_gemma":[0.01350495,0.002502956,0.9814025,0.00009986321,0.0000352854,0.000004635549,0.000579436,0.0007215855,0.00007833228,0.0007576956,0.0001305047,0.0001823242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945983,0.0005463765,0.00003005646,0.001622572,0.0001366165,0.001222819,0.0001047676,0.0000561992,0.001682283],"genre_scores_gemma":[0.9983741,0.00001643624,0.0001269526,0.0009818573,0.0001946975,0.0001076129,0.0001104098,0.00002526791,0.00006268858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00856072,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1960342274675815,"score_gpt":0.4126511030880684,"score_spread":0.2166168756204869,"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."}}