{"id":"W2987378187","doi":"10.1136/thoraxjnl-2019-214139","title":"Association between asthma, corticosteroids and allostatic load biomarkers: a cross-sectional study","year":2020,"lang":"en","type":"article","venue":"Thorax","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Allostatic load; Medicine; Asthma; Socioeconomic status; Allostasis; Cross-sectional study; Context (archaeology); Gerontology; Demography; Internal medicine; Environmental health; Population; Immunology; Pathology; Biology","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":[0.001373128,0.0002760758,0.0004084942,0.0005330248,0.0005051837,0.0007511291,0.0004007933,0.0007815261,0.001241279],"category_scores_gemma":[0.002443925,0.0004811447,0.0004951335,0.001038512,0.0002564383,0.0005073519,0.0004809129,0.0007559882,0.0003645454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587869,"about_ca_system_score_gemma":0.0003755615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006329552,"about_ca_topic_score_gemma":0.008512636,"domain_scores_codex":[0.9991941,0.000257314,0.000108146,0.000209854,0.0001591497,0.00007149005],"domain_scores_gemma":[0.9979373,0.0003392496,0.0008843185,0.0002199703,0.000307957,0.0003111509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003789701,0.00003722116,0.9993252,0.00001218826,0.00007646082,0.00001761987,0.00004113595,0.000009772612,0.00009577631,0.000004941111,0.00004921372,0.0002926351],"study_design_scores_gemma":[0.000003552458,0.00008408509,0.9995539,0.000005861931,0.00003306751,0.0000999424,0.00006571614,0.00004252034,0.00001605838,0.000005143463,0.00008849678,0.000001647641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998136,0.0005325928,0.0001509643,0.00005530691,0.000009065265,0.00003122156,0.0007974839,0.000003406234,0.0002839333],"genre_scores_gemma":[0.9987187,0.0001894501,0.0002366104,0.00008354878,0.00001405099,0.00003268511,0.0005586183,0.000001618922,0.000164721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006329552,"threshold_uncertainty_score":0.01258546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478789687689935,"score_gpt":0.3281557060038715,"score_spread":0.2933678091269721,"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."}}