{"id":"W2378778782","doi":"","title":"Zinc Leaching Tail Slag Flotation Technology Optimization Study Preprocessing","year":2010,"lang":"en","type":"article","venue":"Gold Science and Technology","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"First Quantum Minerals (Canada)","funders":"","keywords":"Metallurgy; Leaching (pedology); Zinc; Sulfuric acid; Xanthate; Sulfur; Froth flotation; Adsorption; Beneficiation; Hydrometallurgy; Chemistry; Pulp and paper industry; Waste management; Materials science; Environmental science; Engineering; Inorganic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002602289,0.0002282913,0.0004024805,0.0002605779,0.0002775153,0.0003713383,0.0001962648,0.0003059591,0.0008067226],"category_scores_gemma":[0.0002264633,0.0001132981,0.0003627109,0.0003660394,0.0001198262,0.0001863855,0.0001481202,0.000197856,0.0001239214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005253184,"about_ca_system_score_gemma":0.0004827085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006134012,"about_ca_topic_score_gemma":0.01108907,"domain_scores_codex":[0.9998643,0.0000139806,0.000007252067,0.00002882153,0.00006133669,0.00002414139],"domain_scores_gemma":[0.9999312,0.00002151559,0.00001150783,0.000005035759,0.00002533527,0.000005257658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005908158,0.0003484979,0.00721892,0.000271587,0.00006906279,0.0001463525,0.00007029543,0.07320473,0.8865691,0.0005975318,0.0003204612,0.03059265],"study_design_scores_gemma":[0.00005495333,0.0007623663,0.01180885,0.000007777912,0.00008495914,0.00005501247,0.00006584433,0.08810903,0.8969231,0.0001334122,0.001981287,0.00001336658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858766,0.0002114796,0.01176755,0.00003563539,0.000005856315,0.00003402438,0.0001012657,0.00003265064,0.001934949],"genre_scores_gemma":[0.9889219,0.0002042113,0.008140322,0.00001495842,0.000002530476,0.00002333191,0.000185621,0.00001016326,0.002497173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006134012,"threshold_uncertainty_score":0.0121966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007392819163449538,"score_gpt":0.2658331486531263,"score_spread":0.2584403294896768,"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."}}