{"id":"W4415230530","doi":"10.3390/toxics13100878","title":"Extended Environmental Multimedia Modeling System (EEMMS) with Analytic Hierarchy Process for Dual Evaluation of Energy Consumption and Pollutants in Solid Waste","year":2025,"lang":"en","type":"article","venue":"Toxics","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Energy consumption; Pollutant; Leachate; Risk assessment; MODFLOW; Municipal solid waste; Environmental impact assessment; Waste disposal","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":[0.001431365,0.0009644001,0.0006599409,0.001056362,0.0005443819,0.001437092,0.0008764698,0.0008517153,0.002582466],"category_scores_gemma":[0.00206094,0.000460019,0.00152903,0.0009232651,0.0002746057,0.00107824,0.001178231,0.0006481622,0.0003376595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009258144,"about_ca_system_score_gemma":0.001716881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01150708,"about_ca_topic_score_gemma":0.01123454,"domain_scores_codex":[0.9995136,0.0001882611,0.00004815916,0.00006008985,0.0001548762,0.00003504485],"domain_scores_gemma":[0.999432,0.0002963942,0.00007126288,0.00005109966,0.0001185333,0.00003067376],"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":[0.0001163405,0.0001024541,0.002854801,0.0001594398,0.0001310756,0.0001647753,0.0001741622,0.9103655,0.003881538,0.01524014,0.001522283,0.06528757],"study_design_scores_gemma":[0.00001272626,0.00002491472,0.0002441982,0.000009894753,0.00001779903,0.00001365274,0.00001607479,0.9928847,0.0006434557,0.004136007,0.001986539,0.000009963993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04580534,0.0003669522,0.9430694,0.0002968032,0.00005609476,0.0003010816,0.001132141,0.003922512,0.005049672],"genre_scores_gemma":[0.5027002,0.0006615135,0.4916874,0.0001071404,0.00005135765,0.0007738724,0.001323703,0.0003203248,0.002374429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01150708,"threshold_uncertainty_score":0.0228802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823108212512106,"score_gpt":0.2810824398523715,"score_spread":0.2528513577272505,"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."}}