{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007724851,0.000124132,0.0001244817,0.0005787797,0.0004870567,0.0001031641,0.0004290288,0.0001625205,0.0001971233],"category_scores_gemma":[0.0004591023,0.0001145615,0.000009408973,0.002488015,0.001258928,0.0007016364,0.0002711415,0.0003088256,0.00004411643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004923468,"about_ca_system_score_gemma":0.00004298752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004640526,"about_ca_topic_score_gemma":0.0002205319,"domain_scores_codex":[0.9985791,0.00001618003,0.0002347677,0.000553033,0.000342657,0.0002742417],"domain_scores_gemma":[0.999376,0.00001396916,0.000117555,0.000344468,0.00009054699,0.00005747555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004022701,0.0001375557,0.07293454,0.000003072699,0.0000024387,0.000003542783,0.0006324475,0.0004418379,0.7977886,0.00604964,0.00024186,0.1217605],"study_design_scores_gemma":[0.002414134,0.00186568,0.03865492,0.0000439214,0.00006929721,0.0003096026,0.008582235,0.3534637,0.5321226,0.04086874,0.01973066,0.001874483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863296,0.00001224048,0.005566244,0.001723964,0.0001054784,0.0003662619,4.722093e-7,0.0005968234,0.005298958],"genre_scores_gemma":[0.9846012,0.000005626103,0.01482789,0.0001180227,0.00001245565,0.00006884836,0.000001275715,0.000008422266,0.0003562442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3530219,"threshold_uncertainty_score":0.4671684,"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."}}