{"id":"W2325313972","doi":"10.1021/ef400456n","title":"Evaluation of the Performance of Air Dense Medium Fluidized Bed (ADMFB) for Low-Ash Coal Beneficiation. Part 1: Effect of Operating Conditions","year":2013,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Cyclone Separators and Fluid Dynamics","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Centre for Clean Coal/Carbon and Mineral Processing Technologies; Carbon Management Canada","keywords":"Beneficiation; Coal; Clean coal; Fly ash; Fluidized bed; Environmental science; Separator (oil production); Waste management; Pulp and paper industry; Materials science; Metallurgy; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005864445,0.0005131158,0.000693937,0.0003976153,0.0003353342,0.0004499925,0.0004255035,0.0005859422,0.0005409198],"category_scores_gemma":[0.0007479702,0.0001928813,0.0005178953,0.0003192635,0.000152565,0.0004407419,0.0002884722,0.0003769944,0.0002802537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600934,"about_ca_system_score_gemma":0.000268182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879066,"about_ca_topic_score_gemma":0.002342623,"domain_scores_codex":[0.9997111,0.00006230452,0.00003038728,0.00005486507,0.00009662299,0.0000446685],"domain_scores_gemma":[0.9996638,0.0001459517,0.00005916917,0.00001746624,0.00007885262,0.00003468855],"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":[0.001253388,0.0004552035,0.001881835,0.0004035166,0.00004420291,0.00008032504,0.00006767848,0.001446001,0.9786133,0.00003136468,0.00006994166,0.01565328],"study_design_scores_gemma":[0.00002683358,0.00404907,0.01016772,0.00001040797,0.00006182419,0.00007841044,0.00006882486,0.004362072,0.9806291,0.00001429413,0.0005102564,0.00002105805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974276,0.001074467,0.0009954846,0.00002196968,0.00001195863,0.0000363711,0.0001217932,0.00003292779,0.0002772765],"genre_scores_gemma":[0.9940352,0.001035683,0.003923735,0.00002229376,0.00000792363,0.000033472,0.0002563637,0.00001241365,0.0006727835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001879066,"threshold_uncertainty_score":0.003736198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006930605264086636,"score_gpt":0.2255570828881685,"score_spread":0.2186264776240818,"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."}}