{"id":"W2042048709","doi":"10.1080/10807030903152982","title":"Probabilistic Risk Assessment of Polycyclic Aromatic Hydrocarbons (PAHs) in Produced Water","year":2009,"lang":"en","type":"article","venue":"Human and Ecological Risk Assessment An International Journal","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"U.S. Environmental Protection Agency","keywords":"Environmental chemistry; Environmental science; Human health; Risk assessment; Produced water; Health risk assessment; Toxicity; Oil spill; Health risk; Probabilistic risk assessment; Chemistry; Environmental engineering; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001857037,0.0005887934,0.0003689388,0.0009699946,0.0002347194,0.0007322479,0.0005207647,0.0006668621,0.0009759464],"category_scores_gemma":[0.004740871,0.000319512,0.0008033664,0.0006601649,0.0004780101,0.0007086276,0.0006298459,0.0003305679,0.0001200227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006459237,"about_ca_system_score_gemma":0.0003802158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002522066,"about_ca_topic_score_gemma":0.001451855,"domain_scores_codex":[0.9991294,0.0003964175,0.00002754545,0.0001395436,0.0002577003,0.00004942417],"domain_scores_gemma":[0.9964017,0.002745012,0.0004484546,0.0001277608,0.000238181,0.00003898743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001405275,0.0000329287,0.02065406,0.00005219215,0.00008582477,0.0001035659,0.00002428052,0.9660662,0.002007986,0.002121171,0.0001181197,0.008593091],"study_design_scores_gemma":[0.00002552409,0.0003045219,0.01513182,0.00001354752,0.0001004741,0.0001672901,0.0000487759,0.9701875,0.003854732,0.009430563,0.0007026807,0.00003243844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7856253,0.0009564983,0.2093609,0.0001821305,0.0000110635,0.00009980833,0.0006217933,0.0001662106,0.002976325],"genre_scores_gemma":[0.9939982,0.0001824384,0.004904522,0.00001099021,0.000004189655,0.00004117468,0.0002936926,0.000005944154,0.0005589669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002522066,"threshold_uncertainty_score":0.009821117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600913024346828,"score_gpt":0.3156967822659618,"score_spread":0.2996876520224935,"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."}}