{"id":"W1995978525","doi":"10.1080/10807030490438436","title":"A Simulation-Assessment Modeling Approach for Analyzing Environmental Risks of Groundwater Contamination at Waste Landfill Sites","year":2004,"lang":"en","type":"article","venue":"Human and Ecological Risk Assessment An International Journal","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Agency for Toxic Substances and Disease Registry; COMSATS Institute of Information Technology; U.S. Environmental Protection Agency","keywords":"Environmental science; Risk assessment; Environmental remediation; Groundwater; Beijing; Fuzzy logic; Monte Carlo method; Risk analysis (engineering); Contamination; Environmental engineering; Civil engineering; Computer science; Engineering; China; Statistics; Mathematics; Business; Geotechnical engineering; Geography","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":[0.001175302,0.0006409211,0.000487908,0.0008877211,0.0004159223,0.0008791789,0.0007483138,0.0007482376,0.001390783],"category_scores_gemma":[0.001307341,0.0003738683,0.0009282969,0.0005480787,0.0004164866,0.0008869062,0.0006713005,0.0004963547,0.000115282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502561,"about_ca_system_score_gemma":0.001960801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0143335,"about_ca_topic_score_gemma":0.009368149,"domain_scores_codex":[0.9994728,0.000286688,0.00002383156,0.00004097186,0.0001277889,0.00004793263],"domain_scores_gemma":[0.9994829,0.0002628479,0.00005882596,0.00003181068,0.0001209025,0.00004261219],"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":[0.00001760725,0.00001874457,0.0006129101,0.00000967082,0.00002456796,0.00002612621,0.00002296959,0.9881639,0.0005929865,0.006908739,0.0000565642,0.003545227],"study_design_scores_gemma":[0.00000531914,0.00001425984,0.0001113967,0.000003998452,0.00001106888,0.000007974518,0.000009081054,0.9962348,0.0002780201,0.002954494,0.000365866,0.000003775563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09779731,0.0002872658,0.8945593,0.0004228878,0.00002135087,0.000106743,0.0001248274,0.0002310955,0.006449215],"genre_scores_gemma":[0.9093453,0.0002909202,0.08798575,0.00003788207,0.00001444769,0.000187324,0.0001127703,0.0000187596,0.00200693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0143335,"threshold_uncertainty_score":0.02850014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06361230495628814,"score_gpt":0.3453254282497248,"score_spread":0.2817131232934367,"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."}}