{"id":"W2055760717","doi":"10.1080/15287390600975178","title":"Deriving Uncertainty Factors for Threshold Chemical Contaminants in Drinking Water","year":2007,"lang":"en","type":"article","venue":"Journal of Toxicology and Environmental Health Part B","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Université de Montréal; University of Guelph","funders":"","keywords":"Risk assessment; Uncertainty; Quality (philosophy); Risk analysis (engineering); Environmental health; Environmental planning; Business; Actuarial science; Environmental resource management; Environmental science; Computer science; Statistics; Medicine; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001068102,0.0001356999,0.000310591,0.00004173951,0.000121706,0.000006900545,0.0001156697,0.00009797594,0.0001476233],"category_scores_gemma":[0.00003670107,0.00009071301,0.00006996626,0.0000258838,0.0001948397,0.0001130321,0.0001073502,0.0002556926,0.000003998175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003000904,"about_ca_system_score_gemma":0.000006442221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003139682,"about_ca_topic_score_gemma":0.0001171306,"domain_scores_codex":[0.9985852,0.00003316307,0.0005333793,0.0001792441,0.000142418,0.0005266183],"domain_scores_gemma":[0.9992622,0.0002716921,0.000194054,0.00007171475,0.000001447971,0.0001988536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002056105,0.0003137843,0.8019179,0.00003515522,0.00001598013,0.00004122168,0.001168025,0.0003086055,0.1889964,0.00001067255,0.0004890402,0.006497549],"study_design_scores_gemma":[0.00490226,0.002105387,0.6537992,0.0002319319,0.00004187236,0.000423705,0.002544997,0.0005647517,0.3095451,0.0008488434,0.02437378,0.0006182065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988633,0.0001499333,0.00009062217,0.0004313861,0.0001857468,0.0001886419,0.000003113051,0.000003712657,0.00008348416],"genre_scores_gemma":[0.9987649,0.0001335413,0.0003936026,0.0005692937,0.00007677748,0.000003075049,0.000007418183,0.0000105858,0.00004083817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1481187,"threshold_uncertainty_score":0.3699169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799304284718654,"score_gpt":0.3406880740994582,"score_spread":0.3226950312522716,"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."}}