{"id":"W2074645572","doi":"10.1080/19392690902784846","title":"Effect of Flotation on Preparation of Coal-Water Slurries","year":2009,"lang":"en","type":"article","venue":"International Journal of Coal Preparation and Utilization","topic":"Coal Combustion and Slurry Processing","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tailings; Slurry; Coal; Froth flotation; Bituminous coal; Coal water; Waste management; Diesel fuel; Dispersant; Pulp and paper industry; Chemistry; Coal slurry; Coal preparation plant; Clean coal; Reagent; Environmental science; Metallurgy; Materials science; Environmental engineering","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":[0.0005228773,0.0005415871,0.0005070023,0.0003065621,0.0002669325,0.0003414257,0.000288539,0.000339521,0.001340333],"category_scores_gemma":[0.001327703,0.0002040414,0.0002725545,0.0002517822,0.0002476991,0.0003640975,0.0002808799,0.0007513014,0.0003326639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890794,"about_ca_system_score_gemma":0.000253523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190909,"about_ca_topic_score_gemma":0.002494214,"domain_scores_codex":[0.9995466,0.00008507475,0.00006364771,0.00009474378,0.0001335663,0.00007634128],"domain_scores_gemma":[0.9993562,0.0003284822,0.0001180311,0.00004700354,0.0001068997,0.00004335938],"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":[0.00013995,0.00003537946,0.0002166619,0.0001138975,0.0000175036,0.00004879895,0.00006781876,0.0001175708,0.9971329,0.00002984989,0.00002520165,0.002054609],"study_design_scores_gemma":[0.000005450609,0.0002004054,0.0008869099,0.000003959382,0.00001613816,0.00002604,0.00001643507,0.0002557352,0.998028,0.000006833811,0.0005509087,0.000003132595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938679,0.0009338113,0.003281432,0.0000744413,0.00006736624,0.00008587439,0.0001720763,0.00007556744,0.001441388],"genre_scores_gemma":[0.989555,0.001196688,0.007120763,0.00007892631,0.00002575089,0.00004037183,0.0003708667,0.00007714006,0.001534511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001340333,"threshold_uncertainty_score":0.004483879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450839325751469,"score_gpt":0.3236090053272827,"score_spread":0.309100612069768,"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."}}