{"id":"W2917381463","doi":"10.1289/isee.2011.01962","title":"POPULATION IMPACT OF CHLORINATION BY-PRODUCTS EXPOSURE ON INTRA-UTERINE GROWTH RETARDATION OCCURENCE","year":2011,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Medicine; Percentile; Odds ratio; Population; Confounding; Confidence interval; Pregnancy; Haloacetic acids; Small for gestational age; Environmental health; Logistic regression; Obstetrics; Demography; Gestational age; Internal medicine; Chemistry; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007263446,0.0002478704,0.0002275989,0.0007836803,0.000378495,0.0005825715,0.00041761,0.0003870141,0.001599287],"category_scores_gemma":[0.002032883,0.0001473508,0.0004056571,0.0006782096,0.0004224827,0.0001765723,0.0003235888,0.0004245545,0.0001352229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107906,"about_ca_system_score_gemma":0.001063299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1945123,"about_ca_topic_score_gemma":0.1078393,"domain_scores_codex":[0.999143,0.0002784185,0.00004323609,0.0002150787,0.0001871147,0.0001331727],"domain_scores_gemma":[0.9986535,0.0002760091,0.0004516369,0.0001368943,0.0003295555,0.0001523742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008849976,0.00001762271,0.9976571,0.00001228622,0.000100312,0.00007233032,0.00006246584,0.00006799848,0.0003041642,0.00001939606,0.00007350229,0.001524362],"study_design_scores_gemma":[0.000001685239,0.00005960752,0.9995176,0.000002954747,0.00003007344,0.00007755047,0.00004127486,0.0001088465,0.00004900198,0.000008763579,0.0001011781,0.000001500578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977981,0.0005306433,0.0002428107,0.00007186896,0.000006423099,0.0000122357,0.0006594957,0.00001439032,0.0006640804],"genre_scores_gemma":[0.999383,0.0001368717,0.00007182443,0.0000108137,0.000004219972,0.000005513494,0.000266544,0.000001586444,0.0001197904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1945123,"threshold_uncertainty_score":0.3867602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0316648966546762,"score_gpt":0.2505829396675088,"score_spread":0.2189180430128326,"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."}}