{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001102139,0.00006362261,0.0001948012,0.0002629581,0.00005410468,0.0000489909,0.00049533,0.00005433933,0.0004238909],"category_scores_gemma":[0.0001857909,0.00002839088,0.0001763566,0.0008003011,0.00004402256,0.0001376566,0.00009667951,0.0001518267,0.000002090518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004836907,"about_ca_system_score_gemma":0.00001120539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226378,"about_ca_topic_score_gemma":0.002003195,"domain_scores_codex":[0.9980804,0.000211353,0.0004482095,0.0001225918,0.0008917897,0.0002456633],"domain_scores_gemma":[0.9986547,0.0003579024,0.0001442371,0.00003997904,0.0007213299,0.0000819148],"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":[0.0002964797,0.0008528787,0.03019114,0.000003188047,0.0007615807,0.0001573521,0.0003554756,0.001877352,0.8166323,0.01240224,0.001208015,0.135262],"study_design_scores_gemma":[0.003943669,0.001850276,0.02752092,0.0004952842,0.0001724228,0.000121615,0.002908816,0.1380979,0.7476209,0.01415385,0.06234935,0.0007650045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970329,0.0008092745,0.00007456721,0.001426715,0.00009403811,0.000008525892,0.000008305308,0.000003991758,0.0005417253],"genre_scores_gemma":[0.9988151,0.0006629775,0.00008584998,0.00006666689,0.0002379849,0.000001799177,0.00000627293,8.778923e-7,0.0001224933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1362206,"threshold_uncertainty_score":0.4641308,"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."}}