{"id":"W2004774753","doi":"10.1016/j.jenvman.2005.11.001","title":"Prioritizing groundwater remediation policies: A fuzzy compatibility analysis decision aid","year":2006,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"First Nations University of Canada; University of Regina","funders":"","keywords":"Compatibility (geochemistry); Environmental remediation; Prioritization; Multiple-criteria decision analysis; Fuzzy logic; Risk analysis (engineering); Computer science; Environmental science; Groundwater remediation; Operations research; Engineering; Management science; Contamination; Business; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004960638,0.000253333,0.0006440617,0.001636399,0.0002094655,0.0005019424,0.0009622323,0.00007555238,0.0007600235],"category_scores_gemma":[0.000227779,0.0001882064,0.0005898135,0.001099537,0.0001138808,0.0008424621,0.000497536,0.000199971,0.0002184943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005563602,"about_ca_system_score_gemma":0.000009153497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004575748,"about_ca_topic_score_gemma":0.00005715564,"domain_scores_codex":[0.9926233,0.0003098268,0.002426276,0.0005161578,0.003771039,0.0003534069],"domain_scores_gemma":[0.9968356,0.0007453741,0.001373379,0.0008221993,0.00007272873,0.0001506508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008147595,0.002389606,0.67563,0.00002314231,0.000953155,0.0004834024,0.001050876,0.02175284,0.01248241,0.001249623,0.009831956,0.2733382],"study_design_scores_gemma":[0.001382027,0.000127784,0.9541958,0.00003243502,0.0003469996,0.00002459989,0.001145127,0.002570145,0.0001417809,0.0212641,0.01854318,0.0002260458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370851,0.0001879577,0.05971346,0.0002247843,0.000543553,0.0002448481,0.00001247385,0.00001183641,0.001975995],"genre_scores_gemma":[0.963598,0.00005008317,0.03529634,0.0001835393,0.0002478514,0.000002981892,0.00000630437,0.00001591178,0.0005989931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2785657,"threshold_uncertainty_score":0.8321724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04523841667583613,"score_gpt":0.3446991066021509,"score_spread":0.2994606899263147,"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."}}