{"id":"W2264970901","doi":"10.1186/s13223-015-0108-7","title":"Association between allergic rhinitis and metabolic conditions: a nationwide survey in Korea","year":2016,"lang":"en","type":"article","venue":"Allergy Asthma and Clinical Immunology","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Korea Health Industry Development Institute","keywords":"Medicine; Odds ratio; Logistic regression; Metabolic syndrome; Confidence interval; Population; Disease; Epidemiology; National Health and Nutrition Examination Survey; Blood pressure; Internal medicine; Cross-sectional study; Prospective cohort study; Demography; Environmental health; Obesity; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006490939,0.0002785659,0.0002817164,0.0006933004,0.0002830866,0.0003945638,0.0003152445,0.0003128254,0.0007249577],"category_scores_gemma":[0.0007055387,0.0003689022,0.0004360535,0.0009899447,0.0001962803,0.000444103,0.0004593407,0.0003805043,0.0001417014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003259904,"about_ca_system_score_gemma":0.0005019655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01348313,"about_ca_topic_score_gemma":0.01873299,"domain_scores_codex":[0.9995388,0.0001073146,0.00009662264,0.000132301,0.00006965119,0.00005525332],"domain_scores_gemma":[0.9994068,0.00004685375,0.0002678359,0.00005400843,0.0001021202,0.0001224529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001813596,0.00002020926,0.9988099,0.0000224907,0.0000494657,0.00004423678,0.00005261541,0.00001624428,0.0002183691,0.000006190372,0.0001084417,0.000633595],"study_design_scores_gemma":[0.000001974156,0.00001794601,0.999592,0.000005441644,0.00001462178,0.0000934674,0.0001267575,0.00004398382,0.00001138346,0.000003590915,0.0000868452,0.000001931074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980094,0.0003263657,0.0001111647,0.00005854507,0.000006092077,0.00002576461,0.001207864,0.000004170178,0.0002506342],"genre_scores_gemma":[0.9986835,0.0002011162,0.0001552558,0.00007407003,0.00000487414,0.00002048338,0.0007822717,0.000001479899,0.00007694864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01348313,"threshold_uncertainty_score":0.02680933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224484713316869,"score_gpt":0.3288962528445476,"score_spread":0.2966514057113789,"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."}}