{"id":"W2379513905","doi":"","title":"THE EXPERIENCE ON INVESTIGATION OF CLEANER NONFERROUS METALS PRODUCTION ENTERPRISES IN CANADA","year":2004,"lang":"en","type":"article","venue":"Mining and Metallurgy","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cleaner production; Smelting; Production (economics); Waste management; Nonferrous metal; Pollution; Refining (metallurgy); Engineering; China; Environmental science; Environmental engineering; Metallurgy; Municipal solid waste; Geography; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001464303,0.00006717511,0.0001124757,0.00004881732,0.00003711038,0.000007581882,0.00005261338,0.00002951904,0.000004291482],"category_scores_gemma":[0.000255397,0.00005300987,0.000009997479,0.0001208917,0.0000470318,0.0000521531,0.00001083363,0.0000611225,3.398198e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347563,"about_ca_system_score_gemma":0.0002045065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1477734,"about_ca_topic_score_gemma":0.4216419,"domain_scores_codex":[0.9994872,0.00002600669,0.0001690192,0.00009758385,0.00007956228,0.0001405897],"domain_scores_gemma":[0.9997413,0.00007489546,0.00004145536,0.00009531385,0.00001837743,0.00002864248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005387712,0.00001481401,0.003476785,0.00004656621,0.00006653736,0.0000423551,0.00804515,0.955632,0.004762522,0.0003961379,0.0001388182,0.02732438],"study_design_scores_gemma":[0.006286585,0.001141047,0.163115,0.0007718194,0.0002211439,0.0002879941,0.1880111,0.04093307,0.5545281,0.002102405,0.04053893,0.002062822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988151,0.0001324096,0.00003632665,0.0002007421,0.0004184405,0.00008495017,2.905267e-7,0.00001566767,0.0002960678],"genre_scores_gemma":[0.9997011,0.0000312115,0.0001059478,0.00002429084,0.00003028729,0.00002571548,8.355998e-7,0.000007605221,0.00007302612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.914699,"threshold_uncertainty_score":0.8579016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590231873505864,"score_gpt":0.2041529310407216,"score_spread":0.188250612305663,"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."}}