{"id":"W2031912451","doi":"10.1007/s00477-004-0222-4","title":"Simulation-based risk assessment of contaminated sites under remediation scenarios, planning periods, and land-use patterns—a Canadian case study","year":2005,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia; University of Regina","funders":"","keywords":"Environmental remediation; Environmental science; Contamination; Computational intelligence; Contaminated land; Water resource management; Risk assessment; Environmental planning; Computer science; Computer security; Artificial intelligence; Biology; Ecology","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":[0.001432768,0.001079104,0.0009598804,0.001279244,0.001566782,0.001300275,0.002193346,0.001132668,0.001785377],"category_scores_gemma":[0.002763222,0.0006944931,0.001067328,0.0021308,0.001009277,0.0005086312,0.0005249865,0.0006470982,0.00008924332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01936415,"about_ca_system_score_gemma":0.01204934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.960495,"about_ca_topic_score_gemma":0.9536399,"domain_scores_codex":[0.9994637,0.0001399171,0.00002019776,0.00006900795,0.0001488391,0.0001582319],"domain_scores_gemma":[0.9977138,0.001271409,0.0001603145,0.00008967821,0.0006149192,0.0001498717],"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":[0.0001015489,0.000078108,0.004832643,0.00001593579,0.00003420095,0.00006794773,0.00003208809,0.9918144,0.0003097754,0.0004756442,0.0003437932,0.001893866],"study_design_scores_gemma":[0.00005913677,0.00004756347,0.004637821,0.000004535209,0.00003883399,0.00001804664,0.00008521788,0.9942214,0.0003037177,0.0002573762,0.0003031363,0.00002318147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887044,0.00017352,0.004629158,0.000316535,0.00001202981,0.000106144,0.001251177,0.0001284921,0.004678559],"genre_scores_gemma":[0.9929553,0.0001524832,0.004400853,0.00002238375,0.000003280161,0.00003982131,0.0006927912,0.00001925827,0.00171392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.039505,"threshold_uncertainty_score":0.1404974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446808125491583,"score_gpt":0.342270678117827,"score_spread":0.3078025968629111,"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."}}