{"id":"W2071708660","doi":"10.1007/s11947-008-0148-9","title":"An Empirical Methodology for Evaluating the Fluid to Particle Heat Transfer Coefficient in Bi-axially Rotating Cans Using Liquid Temperature Data","year":2008,"lang":"en","type":"article","venue":"Food and Bioprocess Technology","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle (ecology); Thermocouple; Heat transfer; Axial symmetry; Heat transfer coefficient; Rotational speed; Materials science; Mechanics; Mechanical engineering; Composite material; Engineering; Physics; Structural 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":[],"consensus_categories":[],"category_scores_codex":[0.0004893275,0.000156062,0.0002321981,0.0001464678,0.0002128854,0.00002103693,0.0003103483,0.0002370001,0.000002789226],"category_scores_gemma":[0.0001195369,0.0001201452,0.0000168641,0.0007257865,0.00009004504,0.0001153006,0.00003396528,0.0001989996,3.673723e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002324196,"about_ca_system_score_gemma":0.00006368287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002226096,"about_ca_topic_score_gemma":0.0003188589,"domain_scores_codex":[0.9988523,0.00005547942,0.0002824242,0.0003596314,0.00008566838,0.0003644585],"domain_scores_gemma":[0.9994656,0.00008870432,0.00000364176,0.0003116531,0.00006873627,0.00006162032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001492244,0.00006001221,0.001181694,0.00009860192,0.00002412128,0.000003360389,0.002884049,0.1700801,0.8207259,0.0001317665,0.000009978342,0.004651261],"study_design_scores_gemma":[0.0005928401,0.001718678,0.0001799416,0.00003515385,0.00002701239,0.00007555222,0.0006021477,0.7684222,0.2280132,0.00004818894,0.00007429334,0.0002107551],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8159384,0.0004129055,0.1820671,0.0008674933,0.00006123565,0.0004176954,0.00004786344,0.0001842186,0.000003121745],"genre_scores_gemma":[0.9782766,0.00003975988,0.02133154,0.0001792762,0.00004347562,0.00007261991,0.0000281821,0.00002778971,7.355716e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5983422,"threshold_uncertainty_score":0.4899378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.145684331243273,"score_gpt":0.3760210447742678,"score_spread":0.2303367135309948,"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."}}