{"id":"W2075491823","doi":"10.1080/10807030290879790","title":"The Use of Probabilistic Risk Assessment in Establishing Drinking Water Quality Objectives","year":2002,"lang":"en","type":"article","venue":"Human and Ecological Risk Assessment An International Journal","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"Health Canada; American Lebanese Syrian Associated Charities; U.S. Environmental Protection Agency","keywords":"Probabilistic logic; Probabilistic risk assessment; Risk assessment; Risk analysis (engineering); Identification (biology); Uncertainty analysis; Quality (philosophy); Computer science; Statistics; Mathematics; Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.02728339,0.00270721,0.001407334,0.006391118,0.001304186,0.004381361,0.002511276,0.001967102,0.00162214],"category_scores_gemma":[0.06024095,0.001175652,0.002107417,0.003405751,0.003653546,0.005889321,0.00502302,0.00299057,0.0003105436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002347093,"about_ca_system_score_gemma":0.002646812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002922555,"about_ca_topic_score_gemma":0.003660227,"domain_scores_codex":[0.9762633,0.01468957,0.001068199,0.001143823,0.006375942,0.0004590236],"domain_scores_gemma":[0.9556894,0.03589424,0.003794309,0.001588575,0.002754697,0.000278702],"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":[0.00004960462,0.00004643446,0.002237329,0.0003695759,0.0001977839,0.0001031942,0.0003018272,0.7079844,0.0009487417,0.208378,0.000715736,0.07866733],"study_design_scores_gemma":[0.00002228617,0.0001344323,0.00100352,0.0002533866,0.0001170019,0.0001488321,0.0001640491,0.4839971,0.001444348,0.5052522,0.007312781,0.000150053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003710523,0.0009298903,0.991484,0.0004581113,0.0000222506,0.00006813478,0.00005277988,0.00006803608,0.003206135],"genre_scores_gemma":[0.3272883,0.004495694,0.6656072,0.0002454913,0.0002390784,0.0006962619,0.0002108236,0.00009958041,0.001117478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02728339,"threshold_uncertainty_score":0.14429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05193457385599569,"score_gpt":0.3236490678190323,"score_spread":0.2717144939630366,"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."}}