{"id":"W2555144272","doi":"","title":"Economic sustainability of end-of-life vehicle recycling infrastructure under uncertainty a fuzzy logic approach","year":2013,"lang":"en","type":"article","venue":"Industrial Engineering and Systems Management (IESM), Proceedings of 2013 International Conference on","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"","keywords":"Sustainability; Fuzzy logic; Profit margin; Process (computing); Profit (economics); Order (exchange); Computer science; Risk analysis (engineering); Engineering; Business; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008129579,0.000732206,0.0006329748,0.001251749,0.0005265737,0.001955389,0.001052454,0.0011281,0.001646662],"category_scores_gemma":[0.001084664,0.0003562966,0.0009956686,0.0007741488,0.0007499326,0.001687872,0.0008274655,0.0007607319,0.0001172154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00308799,"about_ca_system_score_gemma":0.001462531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009779895,"about_ca_topic_score_gemma":0.005357609,"domain_scores_codex":[0.9995613,0.0001567755,0.00001625321,0.0000622078,0.0001363514,0.00006723496],"domain_scores_gemma":[0.9996271,0.0001917828,0.00006762859,0.00001435766,0.00007682246,0.0000221312],"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":[0.00001308563,0.00002352092,0.0003975658,0.00002388653,0.00002423841,0.0001074077,0.00003164757,0.9633917,0.0007521466,0.03154106,0.0001609397,0.003532785],"study_design_scores_gemma":[0.000002918234,0.0000141221,0.0001524113,0.000008935357,0.000009718294,0.00001383555,0.00003177572,0.9827269,0.0002167895,0.01646662,0.0003476851,0.000008316066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1203045,0.0007374411,0.8467999,0.001079932,0.00005551346,0.00008909569,0.000230177,0.00009373764,0.03060973],"genre_scores_gemma":[0.972016,0.0005096839,0.02366735,0.00006692823,0.00002757927,0.00008910927,0.00006442746,0.00001300102,0.003545993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009779895,"threshold_uncertainty_score":0.02240497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02930873403443489,"score_gpt":0.2398433171152133,"score_spread":0.2105345830807784,"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."}}