{"id":"W4307400963","doi":"10.1016/j.apm.2022.10.028","title":"A multi-objective approach for designing a tire closed-loop supply chain network considering producer responsibility","year":2022,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Weighting; Supply chain network; Constraint (computer-aided design); Reverse logistics; Mathematical optimization; Product (mathematics); Operations research; Linear programming; Fuzzy logic; Computer science; Closed loop; Supply chain management; Business; Engineering; Control engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004111392,0.0004715407,0.00064037,0.0003178449,0.001267798,0.0003140253,0.0005129936,0.00009303231,0.0001885177],"category_scores_gemma":[0.0002917979,0.0004922728,0.0002008504,0.0008688855,0.0001092087,0.0003427851,0.00101242,0.0004825902,0.00003109907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103762,"about_ca_system_score_gemma":0.00007582809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003920899,"about_ca_topic_score_gemma":0.000001945924,"domain_scores_codex":[0.9963102,0.00006380604,0.0007486301,0.00115004,0.000618097,0.00110927],"domain_scores_gemma":[0.9980994,0.0006140382,0.0003424064,0.0007264635,0.0001746485,0.00004302241],"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":[0.0004524715,0.0004745384,0.0000647691,0.001519482,0.0001110545,0.00001213249,0.0007687249,0.7948589,0.000244413,0.1987052,0.0009190744,0.001869327],"study_design_scores_gemma":[0.001114938,0.00001795841,0.000006030537,0.00003164785,0.0001323334,0.000002836418,0.005955819,0.8522409,0.00005756987,0.1384593,0.001475735,0.0005050217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02090099,0.00007681955,0.96469,0.0003193079,0.0001191181,0.005740496,0.000005275037,0.0004664477,0.007681568],"genre_scores_gemma":[0.6782961,9.390093e-7,0.3153325,0.0008254543,0.0005633904,0.004302249,0.00005420876,0.0001317749,0.0004933747],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6573951,"threshold_uncertainty_score":0.9997529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04180386699764695,"score_gpt":0.241235150099209,"score_spread":0.1994312831015621,"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."}}