{"id":"W2996899773","doi":"10.1016/j.ifacol.2019.11.127","title":"Automotive Returnable Container Management with RFID:A Simulation Approach","year":2019,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"RFID technology advancements","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive industry; Container (type theory); Supply chain; Economic shortage; Computer science; Discrete event simulation; Manufacturing engineering; Supply chain management; Automotive engineering; Business; Engineering; Simulation; Mechanical 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":[0.0003735514,0.0006103997,0.0005984226,0.0005992465,0.0004656945,0.001021523,0.0009598064,0.001472952,0.002808423],"category_scores_gemma":[0.0009204018,0.0003751046,0.0009637011,0.000591194,0.0004619159,0.0006874363,0.0007578011,0.0007015219,0.0002872794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008260459,"about_ca_system_score_gemma":0.0009585607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01364353,"about_ca_topic_score_gemma":0.00603255,"domain_scores_codex":[0.9998214,0.00006811578,0.00001071674,0.00002629017,0.00003817383,0.00003533992],"domain_scores_gemma":[0.9994728,0.0003193186,0.00005475404,0.00003156365,0.00008767195,0.0000338939],"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":[0.00001914326,0.00002206731,0.0003782884,0.00001376106,0.000008908733,0.00003080704,0.00001810923,0.9962806,0.0005044613,0.001545039,0.00005508903,0.001123812],"study_design_scores_gemma":[0.000003069299,0.000008111829,0.00003576878,0.000001923567,0.000002950866,0.000003011662,0.000008882767,0.9992754,0.000179374,0.0002470118,0.0002325916,0.000001929216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3395026,0.0006848075,0.6196768,0.0006767337,0.0001654054,0.0002164662,0.0006042806,0.0007256299,0.0377473],"genre_scores_gemma":[0.9356574,0.000726555,0.05506933,0.00007779154,0.00003243555,0.0002418823,0.0003711604,0.00005938546,0.007764164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01364353,"threshold_uncertainty_score":0.02712822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002845654267814083,"score_gpt":0.1837125333036567,"score_spread":0.1808668790358427,"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."}}