{"id":"W2085637086","doi":"10.1016/j.wasman.2011.08.009","title":"SLFP: A stochastic linear fractional programming approach for sustainable waste management","year":2011,"lang":"en","type":"article","venue":"Waste Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Linear programming; Mathematical optimization; Reliability (semiconductor); Constraint (computer-aided design); Stochastic programming; Fractional programming; Computer science; Municipal solid waste; Operations research; Engineering; Mathematics; Waste management; Nonlinear programming","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001212233,0.001032811,0.001308297,0.000721231,0.0005341794,0.001083547,0.001450227,0.00177094,0.003492099],"category_scores_gemma":[0.002373987,0.0004247991,0.001216892,0.001147599,0.0005340228,0.001005182,0.001137377,0.001379003,0.0003567864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008151635,"about_ca_system_score_gemma":0.001951742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007548105,"about_ca_topic_score_gemma":0.007087759,"domain_scores_codex":[0.9994817,0.0002029671,0.00001968119,0.00006116938,0.000178556,0.00005593893],"domain_scores_gemma":[0.9994045,0.0003702166,0.00004338187,0.00002425222,0.000120676,0.00003698202],"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":[0.00002356269,0.00004538208,0.0001009196,0.00007211971,0.00002652402,0.00004118709,0.00002016512,0.9418923,0.0008866169,0.02313061,0.001499984,0.03226057],"study_design_scores_gemma":[0.000003293973,0.000008499209,0.000009210789,0.000003657839,0.000002890825,0.000005135658,0.000002205428,0.9947019,0.0001104305,0.004518033,0.0006323463,0.000002346469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001975115,0.0001538589,0.9956682,0.000129242,0.00006949365,0.00002368162,0.00005249053,0.000142265,0.001785777],"genre_scores_gemma":[0.2562759,0.0007277132,0.7330395,0.0003554613,0.0002966809,0.0004153553,0.0002712371,0.0003102474,0.008307878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007548105,"threshold_uncertainty_score":0.01500833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573242898151441,"score_gpt":0.1963621324205005,"score_spread":0.1806297034389861,"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."}}