{"id":"W4248564417","doi":"10.2175/106143005x54489","title":"Automotive Wastes","year":2005,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"European Commission; University of Alberta","keywords":"Citation; Automotive industry; Library science; Sociology; Computer science; 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":[0.0003610818,0.001047561,0.0008321833,0.003424506,0.0007093803,0.001986474,0.0009954851,0.001066169,0.02446199],"category_scores_gemma":[0.0004170525,0.0002366089,0.0007775112,0.00314683,0.0001973082,0.0008334455,0.001101856,0.0003813628,0.01572258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006351486,"about_ca_system_score_gemma":0.0008375978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558673,"about_ca_topic_score_gemma":0.002716539,"domain_scores_codex":[0.998903,0.000100686,0.0001159511,0.0001515275,0.0006259173,0.0001028258],"domain_scores_gemma":[0.9997186,0.00003823633,0.00007092655,0.00002161948,0.0001367688,0.00001378094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002118539,0.0001660135,0.002695738,0.0102658,0.000149018,0.002762969,0.0002873603,0.0008204345,0.03646583,0.0060673,0.02614676,0.9139609],"study_design_scores_gemma":[0.000006249515,0.00012051,0.002098016,0.0008298856,0.00008807487,0.002377279,0.0002821709,0.00006771094,0.01853872,0.0009624455,0.9746119,0.00001696052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0484424,0.7026998,0.01000864,0.001608865,0.002814574,0.0002735349,0.003990541,0.0005746431,0.229587],"genre_scores_gemma":[0.159821,0.5970526,0.008387421,0.003012795,0.0009305146,0.0002155793,0.008829681,0.0001618231,0.2215886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02446199,"threshold_uncertainty_score":0.08183348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0463916741509022,"score_gpt":0.3106093116164451,"score_spread":0.2642176374655428,"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."}}