{"id":"W1528320343","doi":"10.5772/23753","title":"Numerical Simulation of Pneumatic and Cyclonic Dryers Using Computational Fluid Dynamics","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Process engineering; Pelletizing; Raw material; Process (computing); Spray drying; Environmental science; Engineering; Computer science; Materials science; Chemistry; Pellets; Chemical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000644195,0.0002605265,0.0003636992,0.0001892688,0.00003016532,0.0000141641,0.00009964004,0.0002799106,0.00004944746],"category_scores_gemma":[0.000007250802,0.0002827386,0.0001104803,0.00001194342,0.00009986015,0.00003031391,0.00003316646,0.0002586272,0.00001198623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149357,"about_ca_system_score_gemma":0.00002956663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001250045,"about_ca_topic_score_gemma":0.000003763852,"domain_scores_codex":[0.9991102,0.000007345097,0.0003948879,0.0001669377,0.0001782554,0.0001424144],"domain_scores_gemma":[0.9995483,0.00007446856,0.00007851217,0.0001698913,0.00007128013,0.0000575174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002135463,0.00007992935,0.0001271522,0.004770176,0.002509895,0.0001289433,0.004448049,0.5692006,0.09517687,0.1574808,0.00005792722,0.1658061],"study_design_scores_gemma":[0.0002153338,0.00004084214,0.000006464609,0.0003347917,0.00009671062,0.00002160905,0.000006848064,0.9643961,0.001937118,0.03224664,0.0003794114,0.000318168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01471124,0.000459332,0.8404543,0.000004383189,0.0003968929,0.0004031247,0.00005853925,0.0002927887,0.1432194],"genre_scores_gemma":[0.9967681,0.00001050129,0.00182818,0.000008291247,0.00003122041,0.000002594449,0.00003180331,0.00008564025,0.001233652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9820569,"threshold_uncertainty_score":0.9999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008921313529657,"score_gpt":0.2266337517734375,"score_spread":0.206544538638141,"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."}}