{"id":"W4253605741","doi":"10.32920/ryerson.14656257","title":"Reusability Evaluation Models In Reverse Logistics","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Reusability; Reverse logistics; Analytic hierarchy process; Computer science; Fuzzy logic; Reliability (semiconductor); Process (computing); Operations research; Reliability engineering; Hierarchy; Industrial engineering; Manufacturing engineering; Engineering; Artificial intelligence; Business; Software; Supply chain","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":[0.002474707,0.001159034,0.000762743,0.002107076,0.0004106152,0.001740791,0.001256865,0.001215477,0.001918854],"category_scores_gemma":[0.006076399,0.0003802216,0.001180676,0.001593706,0.0008739397,0.002230156,0.001179308,0.0009980506,0.0002556803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00207229,"about_ca_system_score_gemma":0.0009175049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009131779,"about_ca_topic_score_gemma":0.00369416,"domain_scores_codex":[0.9985734,0.0006571291,0.00006442633,0.0001644335,0.0003871922,0.0001533623],"domain_scores_gemma":[0.9967609,0.002025726,0.0004701282,0.0001208081,0.0005435306,0.00007893369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002304886,0.00003439911,0.0005124892,0.00004376424,0.00002336494,0.00009495443,0.0001045545,0.9433689,0.0006154191,0.0451884,0.0002011854,0.009789432],"study_design_scores_gemma":[0.000002309246,0.00001798964,0.0001255178,0.000008160042,0.000007935397,0.00001240804,0.00002057638,0.9880158,0.0001543713,0.01133069,0.0002984744,0.000005780546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09827041,0.00110122,0.8825417,0.0004888932,0.00003277487,0.00008895193,0.0001150981,0.0001865364,0.01717437],"genre_scores_gemma":[0.9438894,0.0007834499,0.04954129,0.00005006288,0.00002903503,0.0001388952,0.0001060403,0.00004922547,0.005412603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009131779,"threshold_uncertainty_score":0.01815724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07381124699165896,"score_gpt":0.283193363407967,"score_spread":0.2093821164163081,"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."}}