{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000909854,0.0004015419,0.0002225956,0.001622415,0.01588527,0.002735689,0.001396358,0.0009244141,0.003955911],"category_scores_gemma":[0.001600189,0.0003220814,0.0003023836,0.003327783,0.002888788,0.0008565762,0.002154649,0.001191748,0.0003130808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0451275,"about_ca_system_score_gemma":0.07623121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9709632,"about_ca_topic_score_gemma":0.9894611,"domain_scores_codex":[0.997408,0.0002499966,0.00004428909,0.0002286475,0.000733148,0.001336023],"domain_scores_gemma":[0.9962418,0.0003074892,0.0001945887,0.00007648946,0.001821129,0.001358651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004544609,0.0007157935,0.3806384,0.0006591765,0.00006803978,0.01775213,0.4159292,0.0009190049,0.01688043,0.009954279,0.02582385,0.1302051],"study_design_scores_gemma":[0.00001049304,0.0002257095,0.2725326,0.0001371852,0.00003868544,0.001109131,0.5537457,0.000510064,0.005107312,0.0002352655,0.16626,0.00008784925],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654067,0.001211711,0.0004400839,0.003546115,0.00003616023,0.0001078444,0.0004123912,0.00003507997,0.02880388],"genre_scores_gemma":[0.9482033,0.002600021,0.0008397027,0.001157027,0.00001377115,0.00003164729,0.0003697613,0.00002160577,0.04676313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0451275,"threshold_uncertainty_score":0.3274245,"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."}}