{"id":"W81978812","doi":"","title":"The recovery of copper from automotive wiring harnesses.","year":2000,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Automotive industry; Cable harness; Engineering; Original equipment manufacturer; Process (computing); Copper wire; Automotive engineering; Scrap; Mechanical engineering; Manufacturing engineering; Computer science; Materials science; Cable gland; Copper","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004865744,0.0005208195,0.0002355833,0.0006509803,0.0004763699,0.0006156528,0.0004146194,0.0004387359,0.001213241],"category_scores_gemma":[0.0007125438,0.0001828501,0.000300848,0.0003589648,0.000409877,0.0006220248,0.0005337842,0.0005565433,0.0006430053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003422106,"about_ca_system_score_gemma":0.0004422689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006062354,"about_ca_topic_score_gemma":0.001311842,"domain_scores_codex":[0.9994704,0.00006204479,0.00002151203,0.00008457999,0.0002808202,0.00008061416],"domain_scores_gemma":[0.9996339,0.00007124478,0.00009509941,0.00007339202,0.0001040686,0.00002235454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004937221,0.00003256356,0.001028522,0.0003526348,0.00002232961,0.0003677353,0.0001672922,0.0006377283,0.9548654,0.0006926929,0.0008481845,0.04093552],"study_design_scores_gemma":[0.000003245688,0.0001875376,0.001401506,0.00002798878,0.00001534608,0.0002981773,0.00008622144,0.0005834397,0.9895611,0.0001206124,0.007707962,0.000006710986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8710426,0.01022097,0.09548952,0.0005409346,0.0002984668,0.0005141241,0.0006518151,0.0007241695,0.02051748],"genre_scores_gemma":[0.9528662,0.004758099,0.02673596,0.0001765673,0.00002996885,0.0001386618,0.0004999589,0.0001132489,0.01468132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9993938,"threshold_uncertainty_score":0.004058719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009786795020323978,"score_gpt":0.1963457126154034,"score_spread":0.1865589175950794,"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."}}