{"id":"W4415471878","doi":"10.1097/ee9.0000000000000433","title":"Consequential (and inconsequential) environmental epidemiology","year":2025,"lang":"en","type":"article","venue":"Environmental Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biobank; Environmental epidemiology; Public health; Subclinical infection; Identification (biology); False positive paradox; Relevance (law); False positives and false negatives; Exposure assessment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003442794,0.000454739,0.0009971024,0.0001057599,0.0006032375,0.000007623084,0.0003993229,0.000528154,0.008979128],"category_scores_gemma":[0.001057001,0.0004444026,0.0001820454,0.0001007044,0.003822274,0.0002290132,0.0009861904,0.0006078337,0.001878649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007238234,"about_ca_system_score_gemma":0.00002345791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007917855,"about_ca_topic_score_gemma":0.00006902211,"domain_scores_codex":[0.9939545,0.002285247,0.001320821,0.001091135,0.0001431203,0.001205121],"domain_scores_gemma":[0.9958898,0.002599388,0.0003936349,0.0006063019,6.439234e-7,0.0005102231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001937345,0.000275178,0.9243979,0.00003156488,0.00009736084,0.00002595892,0.0002258309,0.0003771146,0.004620282,0.009157922,0.02367574,0.03692146],"study_design_scores_gemma":[0.001091377,0.0002438375,0.7548816,0.0000228497,0.00007544975,0.0001770759,0.0001624686,0.001331998,0.0003939696,0.0497868,0.1913286,0.0005040567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460542,0.003379336,0.01009114,0.02857423,0.0008682858,0.0008428317,0.0001348782,0.0001572741,0.0098979],"genre_scores_gemma":[0.9396032,0.00144969,0.005809562,0.05089899,0.00008687,0.00004487435,0.0001350705,0.00003265813,0.001939059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1695163,"threshold_uncertainty_score":0.9998008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04959263207393055,"score_gpt":0.3427805031454612,"score_spread":0.2931878710715306,"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."}}