{"id":"W6996801119","doi":"","title":"Supporting design for remanufacture through a waste-stream analysis of automotive engine remanufacturers","year":2000,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Automotive industry; Automotive engine; Remanufacturing; Process (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009669445,0.0005801592,0.000337657,0.0006341101,0.0007048925,0.001206157,0.001081906,0.0005169523,0.003600634],"category_scores_gemma":[0.002057745,0.0003510031,0.0005211254,0.0002552991,0.0003015611,0.0008110629,0.0004241526,0.000358837,0.0005215793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224531,"about_ca_system_score_gemma":0.002195439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02732286,"about_ca_topic_score_gemma":0.03660348,"domain_scores_codex":[0.9995787,0.00009911529,0.00002043706,0.00004976193,0.0001958557,0.0000560594],"domain_scores_gemma":[0.9991587,0.0002401806,0.00005491477,0.00009491615,0.0004253307,0.00002592331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009420817,0.0006248626,0.01738699,0.0004459716,0.0001100539,0.0008068518,0.003101239,0.4333822,0.1801426,0.01468914,0.004344159,0.3440238],"study_design_scores_gemma":[0.00008030098,0.0003327999,0.003769983,0.00004262988,0.0001389784,0.0001313804,0.0009716959,0.8489925,0.1273793,0.002636839,0.01547816,0.0000453811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5239167,0.0001684739,0.4486077,0.0004641947,0.00003175367,0.0004094155,0.00030502,0.004752103,0.02134467],"genre_scores_gemma":[0.8554326,0.00009993524,0.1365241,0.00004445486,0.000004559246,0.00009008683,0.0003057001,0.0003282527,0.007170373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02732286,"threshold_uncertainty_score":0.05432767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004331235443493284,"score_gpt":0.1761891825364964,"score_spread":0.1718579470930031,"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."}}