{"id":"W4313261991","doi":"10.1021/acs.iecr.2c03347","title":"Heat Transfer Intensification Mechanism of a Baffled Fluidized Bed Heat Exchanger","year":2022,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Baffle; Heat transfer; Fluidized bed; Heat exchanger; Heat transfer coefficient; Materials science; Moving bed heat exchanger; Dynamic scraped surface heat exchanger; Plate heat exchanger; Shell and tube heat exchanger; Mechanics; Fluidization; Micro heat exchanger; Thermodynamics; Concentric tube heat exchanger; Plate fin heat exchanger; Heat spreader; Critical heat flux","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":[0.001281555,0.0002689933,0.0004192838,0.0002437363,0.0001579161,0.00003898586,0.0004946539,0.0002731073,0.0008779969],"category_scores_gemma":[0.0001782088,0.000314232,0.000166705,0.001010665,0.00005439075,0.00008049889,0.0001358279,0.001505887,0.000009392245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003519429,"about_ca_system_score_gemma":0.00009549858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006378473,"about_ca_topic_score_gemma":5.400982e-7,"domain_scores_codex":[0.997447,0.0000868264,0.0004803701,0.0003522269,0.0009456906,0.0006878522],"domain_scores_gemma":[0.9989234,0.0001714465,0.000004174545,0.0005198052,0.0001785276,0.0002026534],"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":[0.00009583012,0.00005136324,0.000004454419,0.000144166,0.00007756842,0.00001751563,0.0002529862,0.003668638,0.9937763,0.0001102563,0.001552381,0.0002484932],"study_design_scores_gemma":[0.001663375,0.00006281025,0.000001200093,0.00004331954,0.00002019735,0.00002438645,0.0001792411,0.03469826,0.9564091,0.00001812636,0.006617407,0.0002625622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967922,0.0004353275,0.0005630713,0.0002086719,0.0006159503,0.0005657778,0.000102266,0.0003693929,0.0003473508],"genre_scores_gemma":[0.9988662,0.00004813557,0.00002794411,0.00000615925,0.0003924859,0.0003586078,0.0001132978,0.00009910353,0.00008807701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03736723,"threshold_uncertainty_score":0.999931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06988223384753285,"score_gpt":0.2772250358836207,"score_spread":0.2073428020360879,"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."}}