{"id":"W4200620647","doi":"10.1111/jiec.13223","title":"A mechanistic model to link technical specifications of vehicle end‐of‐life treatment with the potential of closed‐loop recycling of post‐consumer scrap alloys","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scrap; Sorting; Greenhouse gas; Material flow analysis; Environmental science; Refining (metallurgy); Life-cycle assessment; Closed loop; Automotive engineering; Process engineering; Waste management; Production (economics); Computer science; Materials science; Engineering; Metallurgy; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006559922,0.0001165153,0.0004820309,0.0001156947,0.00004868319,0.000006059743,0.0003203005,0.0001729372,0.0002064861],"category_scores_gemma":[0.0002782585,0.00007814343,0.0001590692,0.0002992528,0.0002479364,0.00005523697,0.0001297845,0.0002366437,0.000002091118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001052157,"about_ca_system_score_gemma":0.0001913672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006845,"about_ca_topic_score_gemma":0.0001193027,"domain_scores_codex":[0.9983221,0.0001722725,0.0008775239,0.0001596701,0.0003072908,0.000161142],"domain_scores_gemma":[0.9983548,0.0002272289,0.0009301394,0.0002788407,0.0001277832,0.00008121104],"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":[0.001341194,0.001468258,0.01062149,0.00002135392,0.0004514778,0.00004046826,0.0002315816,0.06600115,0.8644789,0.001223613,0.001565648,0.05255486],"study_design_scores_gemma":[0.01605729,0.03046614,0.06368554,0.0007492596,0.003115446,0.0003030603,0.004007578,0.01827037,0.8508652,0.007605658,0.003859638,0.001014788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878229,0.00003698103,0.007398987,0.003566832,0.0001253852,0.0003141633,0.00001999413,0.000007046019,0.0007077101],"genre_scores_gemma":[0.9909557,0.0001186531,0.008663195,0.00006535074,0.00007354242,0.000006686917,0.000002047353,0.00001034167,0.0001045214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05306405,"threshold_uncertainty_score":0.3186597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262026336808386,"score_gpt":0.2633652337971363,"score_spread":0.2107449704290524,"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."}}