{"id":"W4387575137","doi":"10.1111/itor.13384","title":"A heuristic algorithm to solve the one‐warehouse multiretailer problem with an emission constraint","year":2023,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Constraint (computer-aided design); Heuristic; Sensitivity (control systems); Mathematical optimization; Computer science; Limiting; Relaxation (psychology); Algorithm; Mathematics; Engineering","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":[0.001099505,0.001011684,0.001180103,0.0009735261,0.00045657,0.0008337724,0.001654753,0.00148985,0.004598069],"category_scores_gemma":[0.001721562,0.0006377991,0.001082935,0.0008843716,0.0005314876,0.0009251341,0.0007410906,0.001098153,0.0004696885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007091353,"about_ca_system_score_gemma":0.001747912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00426667,"about_ca_topic_score_gemma":0.004396046,"domain_scores_codex":[0.9994329,0.0002746211,0.00002333441,0.00008813875,0.00007316547,0.0001078974],"domain_scores_gemma":[0.998672,0.0009313195,0.0001267526,0.00008136507,0.0001192275,0.00006934757],"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":[0.0001585147,0.0002294841,0.0004464407,0.0001851732,0.00005437573,0.0001136156,0.00005898136,0.9497517,0.002139994,0.005077745,0.001460643,0.04032331],"study_design_scores_gemma":[0.00005272386,0.00005011715,0.00008939282,0.00001027406,0.000009069076,0.00002190605,0.0000173249,0.9977476,0.0004566555,0.001092056,0.0004467561,0.000006144971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09809601,0.0006718377,0.8904124,0.0003895854,0.0000942102,0.0004385462,0.0001978781,0.0008759889,0.008823463],"genre_scores_gemma":[0.3128491,0.0002365972,0.6827577,0.0001566911,0.0000424024,0.0004113848,0.0004244768,0.0001300994,0.002991543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004598069,"threshold_uncertainty_score":0.01538211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0743938146218444,"score_gpt":0.3536101937410626,"score_spread":0.2792163791192182,"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."}}