{"id":"W4392659056","doi":"10.1016/j.envres.2024.118617","title":"Optimizing refuse-derived fuel production from scheduled wastes through Aspen plus simulation","year":2024,"lang":"en","type":"article","venue":"Environmental Research","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Universiti Teknologi Malaysia; Ministry of Higher Education, Malaysia","keywords":"Waste management; Environmental science; Production (economics); Pulp and paper industry; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008909133,0.0002053453,0.0001633645,0.0001043502,0.0003017269,0.0002347782,0.0003779609,0.000114151,0.003107305],"category_scores_gemma":[0.00008997305,0.0001900788,0.00007980995,0.0003419606,0.0004042299,0.0008255662,0.0007693386,0.000521979,0.003537469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009247105,"about_ca_system_score_gemma":0.000009552376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003565836,"about_ca_topic_score_gemma":0.000021836,"domain_scores_codex":[0.9969689,0.0002531857,0.0002796339,0.0008779846,0.001117385,0.0005028741],"domain_scores_gemma":[0.9991208,0.0002277098,0.00003820028,0.000517383,0.000002944475,0.00009299238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002346533,0.0004520447,0.006356352,0.0001187656,0.0001586903,0.0001285908,0.00699788,0.2041157,0.5623004,0.0002282708,0.003953326,0.2149553],"study_design_scores_gemma":[0.001278621,0.0007617667,0.03898932,0.0007230078,0.0001178783,0.00001092361,0.005947147,0.4418281,0.2933919,0.05612203,0.1590574,0.001771777],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777385,0.0008586536,0.00443456,0.0007538294,0.000281226,0.0008488751,0.00001057669,0.0004025179,0.01467124],"genre_scores_gemma":[0.9859585,0.0006375373,0.009035692,0.00003711565,0.0002213407,0.000089103,0.00006400039,0.00005775411,0.003898917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2689084,"threshold_uncertainty_score":0.997804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06708279937753123,"score_gpt":0.3555485719882555,"score_spread":0.2884657726107243,"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."}}