{"id":"W2170598838","doi":"10.1093/toxsci/kfm005","title":"Can Exposure Characterization Explain Concurrence or Discordance between Toxicology and Epidemiology?","year":2007,"lang":"en","type":"review","venue":"Toxicological Sciences","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Guelph","funders":"","keywords":"Exposure assessment; Risk assessment; Strengths and weaknesses; Epidemiology; Environmental health; Biomonitoring; Medicine; Human health; Toxicology; Risk analysis (engineering); Biology; Pathology; Psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002448031,0.0005167698,0.001775812,0.00007467325,0.0004583158,0.00005642836,0.0009075934,0.0004921712,0.0009403974],"category_scores_gemma":[0.002081256,0.0002721085,0.0001775087,0.000700192,0.00298572,0.0001698846,0.0006986046,0.0005590777,0.00009199337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050412,"about_ca_system_score_gemma":0.00006076557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004235314,"about_ca_topic_score_gemma":0.00006988999,"domain_scores_codex":[0.9959167,0.0006802888,0.0009090938,0.001232421,0.0002951495,0.0009663199],"domain_scores_gemma":[0.9941754,0.004588253,0.0006346261,0.0002490109,0.000007560255,0.0003451502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005478323,0.00006275649,0.01741767,0.0004091236,0.00001281102,0.00003327162,0.0000228697,0.000001073864,0.0001057696,0.0003510547,0.0001624817,0.9814156],"study_design_scores_gemma":[0.0001953025,0.001456139,0.01401532,0.001304874,0.0001712907,0.0001229573,0.00003860411,0.000022034,0.00003543558,0.0006300487,0.9811006,0.0009074123],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0901766,0.9038309,0.0001988685,0.0009391073,0.0005004184,0.001777192,0.0001885506,0.000191606,0.002196704],"genre_scores_gemma":[0.008126985,0.9893377,0.001205932,0.0004647071,0.000254474,0.000119937,0.00008897336,0.00001691146,0.0003843385],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9809381,"threshold_uncertainty_score":0.9999731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1796941916489798,"score_gpt":0.475906792806537,"score_spread":0.2962126011575572,"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."}}