{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001466983,0.0001746064,0.0001332101,0.00008936556,0.000290768,0.0000655445,0.0006491928,0.00006388641,0.04913657],"category_scores_gemma":[0.00001480575,0.0001234681,0.0000567779,0.0001197329,0.0005003635,0.0002535116,0.002274049,0.0003587664,0.07169829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007656498,"about_ca_system_score_gemma":0.000002235581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002269233,"about_ca_topic_score_gemma":0.00003749055,"domain_scores_codex":[0.996592,0.0002562693,0.0002279478,0.0005608566,0.001328946,0.001033955],"domain_scores_gemma":[0.9990157,0.00004425461,0.00001908346,0.0007053205,0.000004427112,0.0002112212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001290276,0.002091768,0.03795212,0.00004503878,0.0001441977,0.0001306221,0.011646,0.7158653,0.03846697,0.00129121,0.09829358,0.09394421],"study_design_scores_gemma":[0.0004251417,0.000161846,0.008621884,0.000007216299,0.000007691392,0.000003468671,0.000342331,0.01552465,0.03971747,0.0008389368,0.9340503,0.0002991058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.787753,0.00003801201,0.0002457231,0.00942411,0.00004789142,0.0007558804,0.000002926542,0.00006585518,0.2016665],"genre_scores_gemma":[0.9572899,0.00005790259,0.001128593,0.0002384798,0.0001149777,0.0001024042,0.00001050667,0.00002907874,0.04102813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8357567,"threshold_uncertainty_score":0.9517326,"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."}}