{"id":"W1964276688","doi":"10.1080/07349340600619345","title":"Fine Coal Beneficiation using an Air Dense Medium Fluidized Bed","year":2006,"lang":"en","type":"article","venue":"Coal Preparation","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Coal; Beneficiation; Fraction (chemistry); Fluidization; Fluidized bed; Waste management; Particle size; Materials science; Hard coal; Bituminous coal; Environmental science; Engineering; Metallurgy; Chemistry; Chromatography; Chemical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001798597,0.0001657913,0.0001716259,0.00009445188,0.0001121414,0.00004839717,0.0000831117,0.0001407367,0.00003767083],"category_scores_gemma":[0.00001558799,0.0001820687,0.00005676198,0.0001209234,0.00001810799,0.0003884593,0.00001357669,0.00008756245,0.00004202533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009807324,"about_ca_system_score_gemma":0.00002766553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009345615,"about_ca_topic_score_gemma":0.0003346734,"domain_scores_codex":[0.9990082,0.00004542548,0.000314828,0.0001964038,0.0002141619,0.0002210038],"domain_scores_gemma":[0.9995824,0.0000233297,0.00004037738,0.0002272451,0.00006842491,0.00005819403],"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":[0.00007604131,0.00006517773,0.0007172586,0.0000236826,0.00001540779,0.000004540839,0.0001693599,0.08835973,0.9085785,0.0003616934,0.001397945,0.0002306869],"study_design_scores_gemma":[0.0008497678,0.00006706469,0.00273303,0.0000138918,0.00005045868,0.00001068579,0.00001421736,0.4562247,0.5385283,0.0004368816,0.0008088061,0.0002621776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496397,0.0002354733,0.04845935,0.00001978775,0.0004747666,0.0002402074,0.00001253796,0.0004292103,0.0004889776],"genre_scores_gemma":[0.9978405,0.000004974097,0.001173614,0.00001794642,0.0004640111,0.00001579003,0.0004281868,0.0000337649,0.00002117118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3700502,"threshold_uncertainty_score":0.7424548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452267368415242,"score_gpt":0.2436640008948893,"score_spread":0.2291413272107369,"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."}}