{"id":"W3174140522","doi":"10.1016/j.cep.2021.108516","title":"Dynamics of heat-sensitive pharmaceutical granules dried in a horizontal fluidized bed combined with a screw conveyor","year":2021,"lang":"en","type":"article","venue":"Chemical Engineering and Processing - Process Intensification","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Pfizer Canada","keywords":"Residence time distribution; Fluidization; Fluidized bed; Mechanics; Materials science; Péclet number; Economies of agglomeration; Distributor; Pharmaceutical manufacturing; Plug flow; Process engineering; Flow (mathematics); Environmental science; Mechanical engineering; Engineering; Waste management; Chemical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000133056,0.0002694182,0.0004505808,0.0001245218,0.00003470348,0.00004825511,0.00009343697,0.0001677697,0.000003489018],"category_scores_gemma":[0.0001511892,0.0002651435,0.0000432318,0.0005577459,0.0001240993,0.0001568714,0.00002078594,0.0003569282,8.853195e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007855755,"about_ca_system_score_gemma":0.00007069477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004245857,"about_ca_topic_score_gemma":0.000002840118,"domain_scores_codex":[0.9987446,0.00001439925,0.0003976905,0.0003361556,0.0002008297,0.0003063455],"domain_scores_gemma":[0.9992362,0.00007004457,0.00003357934,0.0001467461,0.0003870678,0.0001263308],"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":[0.000285317,0.00008347071,0.0001810466,0.001573853,0.00004863246,0.00002679172,0.0008067306,0.0005242574,0.9915668,0.0005015911,0.000005217247,0.004396303],"study_design_scores_gemma":[0.001089765,0.00002906358,0.00004468371,0.0003862286,0.00003948619,0.00005944063,0.0002462555,0.3922095,0.6056008,0.00007145949,0.000007600287,0.0002157142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776661,0.001247063,0.02026881,0.0001969824,0.00006397732,0.000179131,0.00001559297,0.0002688743,0.00009342535],"genre_scores_gemma":[0.9970129,0.00007823557,0.002586558,0.00002656717,0.00002967039,0.00004354201,0.000165219,0.00005536513,0.000001993447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3916852,"threshold_uncertainty_score":0.9999801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008910037866030908,"score_gpt":0.2265392157693695,"score_spread":0.2176291779033386,"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."}}