{"id":"W2009853816","doi":"10.1080/10807030490452179","title":"An Ecological Risk Assessment Methodology for Screening Discharge Alternatives of Produced Water","year":2004,"lang":"en","type":"article","venue":"Human and Ecological Risk Assessment An International Journal","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Latin hypercube sampling; Context (archaeology); Probabilistic logic; Environmental science; Hazard; Uncertainty analysis; Sampling (signal processing); Risk assessment; Mixing (physics); Monte Carlo method; Risk analysis (engineering); Computer science; Operations research; Environmental resource management; Ecology; Engineering; Geography; Simulation; Mathematics; Statistics","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":[0.002632693,0.00068318,0.0005956974,0.001907636,0.0003050114,0.0009656735,0.0007332881,0.0006382649,0.002524547],"category_scores_gemma":[0.00662895,0.0003174286,0.0005882706,0.0008304755,0.0005929507,0.0008703923,0.0006834147,0.0003798757,0.0001068745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107816,"about_ca_system_score_gemma":0.001205119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002284495,"about_ca_topic_score_gemma":0.001889547,"domain_scores_codex":[0.9984805,0.0007480526,0.00007299536,0.0001390771,0.0004679647,0.00009145756],"domain_scores_gemma":[0.9974762,0.001793047,0.0002549069,0.00005413644,0.0003771844,0.00004451341],"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":[0.0001004374,0.00008501787,0.001810215,0.0001009301,0.0000523362,0.0001128059,0.00005244292,0.9461223,0.00277799,0.0133239,0.0001819388,0.03527961],"study_design_scores_gemma":[0.00001641961,0.0001503843,0.0003587602,0.000008383291,0.00001443717,0.0000304336,0.00002652294,0.9925683,0.001255095,0.005243842,0.0003204159,0.000007106032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.164982,0.0002307799,0.8295656,0.0001611879,0.00001045695,0.0003388733,0.000139633,0.0001484484,0.004423031],"genre_scores_gemma":[0.7883267,0.0001665331,0.2091925,0.0000304398,0.00001360022,0.0004391751,0.0001536516,0.00001451428,0.001662824],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002632693,"threshold_uncertainty_score":0.01392317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0687458472567738,"score_gpt":0.4063122496843767,"score_spread":0.3375664024276029,"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."}}