{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001425309,0.0001717578,0.0001438094,0.00005618165,0.00005761094,0.00002549327,0.0001249542,0.00007865818,0.001248599],"category_scores_gemma":[0.0000712397,0.0001428435,0.00004996772,0.0001727765,0.00005763059,0.0007068869,0.00002944193,0.00008036903,0.000230663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485231,"about_ca_system_score_gemma":0.00001435453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004334671,"about_ca_topic_score_gemma":0.00009144257,"domain_scores_codex":[0.9989372,0.00003235614,0.0002740749,0.0003144266,0.0002552507,0.0001866161],"domain_scores_gemma":[0.9994028,0.00001544237,0.0002310347,0.0002310304,0.00004873673,0.00007096151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005336243,0.001413466,0.7714111,0.00005964275,0.00007217219,0.00001167306,0.002211632,0.004337585,0.1911409,0.0009427624,0.002241571,0.02562383],"study_design_scores_gemma":[0.0002768255,0.0005204788,0.9045824,0.00001829851,0.00001337429,0.000002333737,0.000009490264,0.00002506272,0.09312768,0.001266525,0.00002476266,0.0001327153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899127,0.000004767423,0.0001060334,0.0000479102,0.0001356558,0.0002184167,0.00001908701,0.00004659856,0.009508759],"genre_scores_gemma":[0.999385,0.00001868495,0.0001744812,0.00001283305,0.00002933614,0.00001186962,0.0002010206,0.000009157215,0.0001575918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1331713,"threshold_uncertainty_score":0.9996644,"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."}}