{"id":"W1976065557","doi":"10.3390/toxics2020291","title":"Using Statistical and Probabilistic Methods to Evaluate Health Risk Assessment: A Case Study","year":2014,"lang":"en","type":"article","venue":"Toxics","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Risk assessment; Health risk assessment; Water quality; Exposure assessment; Pollutant; Environmental health; Human health; Computer science; Risk analysis (engineering); Reliability engineering; Engineering; Business; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01665574,0.001134204,0.0007635771,0.003043916,0.001098588,0.00202041,0.001619275,0.001938324,0.001976692],"category_scores_gemma":[0.02130407,0.0005398495,0.001632943,0.002538387,0.001381121,0.001295235,0.001506656,0.00105094,0.0001718986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003405192,"about_ca_system_score_gemma":0.002781381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01866899,"about_ca_topic_score_gemma":0.01972531,"domain_scores_codex":[0.9893615,0.00748561,0.0003704181,0.0003993546,0.00203614,0.0003469345],"domain_scores_gemma":[0.9718626,0.02450942,0.0009241894,0.0007744532,0.001693695,0.0002356587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007182473,0.001500252,0.04903071,0.000531072,0.0003921849,0.004237305,0.001128079,0.8015047,0.00336539,0.02483295,0.001341444,0.1114176],"study_design_scores_gemma":[0.0001234056,0.001025064,0.007381589,0.00007464673,0.0001513351,0.001161588,0.001197297,0.9720334,0.003257253,0.01065079,0.002851791,0.00009185366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6302252,0.001396905,0.3494579,0.001632291,0.00006242737,0.001472101,0.0005330691,0.0001813054,0.0150387],"genre_scores_gemma":[0.8470808,0.0007163584,0.1500831,0.00006923818,0.00002799813,0.0004666797,0.0001208177,0.00002246909,0.00141248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01866899,"threshold_uncertainty_score":0.08808494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1323604731615145,"score_gpt":0.4975003524725654,"score_spread":0.3651398793110509,"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."}}