{"id":"W2081797831","doi":"10.1002/er.799","title":"Energy analysis in fluidized-bed drying of large wet particles","year":2002,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Dalhousie University","funders":"","keywords":"Fluidized bed; Fluidization; Inlet; Moisture; Materials science; Water content; Diffusion; Particle (ecology); Air velocity; Particle size; Mechanics; Thermodynamics; Environmental science; Composite material; Chemical engineering; Geotechnical engineering; Mechanical engineering; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004036856,0.0002519586,0.000380192,0.0004389117,0.0002615594,0.0003455931,0.0003139443,0.000330792,0.0003930956],"category_scores_gemma":[0.000575597,0.0002051164,0.000384935,0.0002811379,0.0002456028,0.0004440255,0.0001789897,0.0002033864,0.00009192225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005215627,"about_ca_system_score_gemma":0.0001817031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001601979,"about_ca_topic_score_gemma":0.001279881,"domain_scores_codex":[0.999853,0.00002934878,0.000005710776,0.00001624105,0.0000784429,0.00001720809],"domain_scores_gemma":[0.9998578,0.00008267479,0.00001453282,0.000008854425,0.00003100322,0.000005099616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005809984,0.0002360178,0.003611386,0.0003404278,0.00005887894,0.0004260468,0.00009180614,0.5291573,0.4187947,0.00446865,0.0002403736,0.04199341],"study_design_scores_gemma":[0.00003121505,0.0001484182,0.003003218,0.000007519506,0.00001573785,0.0000715172,0.00002388029,0.80943,0.1851916,0.001442465,0.0006180754,0.00001639824],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8933831,0.0006151774,0.1045789,0.00004588656,0.0000134042,0.00003293977,0.00004872503,0.00006159409,0.001220245],"genre_scores_gemma":[0.9868526,0.0002552434,0.01189538,0.00000926238,0.000002263497,0.00002236309,0.00008773313,0.0000180448,0.0008570844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001601979,"threshold_uncertainty_score":0.00378418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1043312681323292,"score_gpt":0.3514416298969209,"score_spread":0.2471103617645917,"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."}}