{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01555355,0.001161195,0.001072939,0.005423902,0.000951207,0.003514426,0.001681205,0.0009544057,0.002258908],"category_scores_gemma":[0.03199646,0.0007439567,0.002596339,0.00259628,0.0008677817,0.002888927,0.001418017,0.001838436,0.000625906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004634102,"about_ca_system_score_gemma":0.006024566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01304978,"about_ca_topic_score_gemma":0.01573447,"domain_scores_codex":[0.9908268,0.003120478,0.0009410725,0.0006494515,0.004060743,0.0004015233],"domain_scores_gemma":[0.9726079,0.02128722,0.001718846,0.0004859742,0.003725993,0.0001740434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002084817,0.0001473259,0.01335066,0.001304901,0.0002586427,0.0004447745,0.0008169464,0.664986,0.002906248,0.07270768,0.004071257,0.238797],"study_design_scores_gemma":[0.00004906467,0.0002301095,0.00521394,0.00124685,0.0003345332,0.000292865,0.0008251941,0.8031868,0.01153077,0.1553367,0.02154167,0.0002113634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06241069,0.001330054,0.915434,0.0005057608,0.00004908223,0.001214951,0.001821347,0.0006631175,0.016571],"genre_scores_gemma":[0.2778015,0.001783566,0.7163323,0.0001295058,0.00002636642,0.0005845774,0.001897259,0.0001223156,0.001322647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01555355,"threshold_uncertainty_score":0.08225602,"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."}}