{"id":"W3126173653","doi":"10.1007/s00500-021-05607-6","title":"Designing a closed-loop supply chain network considering multi-task sales agencies and multi-mode transportation","year":2021,"lang":"en","type":"article","venue":"Soft Computing","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Supply chain; Supply chain network; Profit (economics); Revenue; Operations research; Network planning and design; Computer science; Order (exchange); Product (mathematics); Supply chain management; Business; Marketing; Economics; Engineering; Microeconomics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007445502,0.0003478258,0.0003715095,0.0002096533,0.0006947198,0.0005694047,0.0001870778,0.00009283093,0.00003494915],"category_scores_gemma":[0.0003037337,0.000401434,0.0001035625,0.0006747465,0.00009273501,0.0006205496,0.0002289306,0.0002351351,0.00002685772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008442338,"about_ca_system_score_gemma":0.00006577422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004153111,"about_ca_topic_score_gemma":0.000622823,"domain_scores_codex":[0.9977383,0.00005193821,0.0005126432,0.0006488605,0.0002856243,0.000762634],"domain_scores_gemma":[0.9988933,0.0002677327,0.0002814091,0.0002634637,0.0002607486,0.00003336761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006522904,0.000253793,0.5091414,0.003204997,0.0004011469,0.001707767,0.006320337,0.3921361,0.008479742,0.009764607,0.003110623,0.06541429],"study_design_scores_gemma":[0.002449058,0.00001076153,0.06260828,0.0005263661,0.000181696,0.000009893633,0.01950837,0.9057743,0.0003332862,0.001101747,0.006592805,0.0009034526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5883851,0.001448386,0.4077128,0.0005202684,0.0005297452,0.0005962916,0.000003304124,0.0005660066,0.0002381527],"genre_scores_gemma":[0.9267621,0.00001944772,0.07057942,0.001383063,0.0007697108,0.00001833902,0.0001304693,0.0000707858,0.0002666397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5136382,"threshold_uncertainty_score":0.9998438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229872952634562,"score_gpt":0.2405676752216176,"score_spread":0.2175803799581615,"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."}}