{"id":"W1945140702","doi":"10.1002/cjce.22272","title":"Enhancing fluidization stability and improving separation performance of fine lignite with vibrated gas‐solid fluidized bed","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; Postdoctoral Science Foundation of Jiangsu Province; Priority Academic Program Development of Jiangsu Higher Education Institutions; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Fluidization; Coal; Fluidized bed; Fly ash; Materials science; Particle size; Pressure drop; Clean coal; Mineralogy; Waste management; Environmental science; Composite material; Chemical engineering; Chemistry; Mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004450963,0.0001429724,0.0002487455,0.0001213949,0.00003524285,0.00003846551,0.00011943,0.00007355787,0.000005750858],"category_scores_gemma":[0.0001392358,0.0001096363,0.00003330369,0.0002574692,0.00004637041,0.0002352865,0.00000820604,0.0002257687,5.860547e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442909,"about_ca_system_score_gemma":0.0002354143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001109364,"about_ca_topic_score_gemma":0.0001579126,"domain_scores_codex":[0.9991336,0.00001453595,0.0003815139,0.00007391577,0.0001705256,0.0002259324],"domain_scores_gemma":[0.9992067,0.00004292142,0.00006918464,0.0001226246,0.000235651,0.0003229356],"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":[0.00003325835,0.000002467347,0.0001854205,0.00009253918,0.00003029465,0.000003629703,0.0005213925,0.006893439,0.9917766,0.00001203396,0.00001184556,0.0004370726],"study_design_scores_gemma":[0.0005355931,0.00006828734,0.00002367606,0.00009434429,0.00003456807,0.00005805543,0.00001725378,0.1351432,0.8638945,0.000006048392,0.00001678589,0.000107673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944961,0.0005502097,0.0046707,0.00003731803,0.0001062512,0.00009149655,0.000003954109,0.0000258203,0.00001812902],"genre_scores_gemma":[0.9984914,0.00000639746,0.001379548,0.000006265109,0.00008238483,0.000002215418,0.000004965323,0.00002632758,4.902565e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1282498,"threshold_uncertainty_score":0.447084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007517389568938149,"score_gpt":0.1816088375976846,"score_spread":0.1740914480287464,"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."}}