{"id":"W2035868168","doi":"10.1016/j.ijthermalsci.2006.05.001","title":"Thermodynamic bounds for food deep chilling tray tunnel operation","year":2006,"lang":"en","type":"article","venue":"International Journal of Thermal Sciences","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exergy; Tray; Refrigeration; Mass flow rate; Maximization; Evaporator; Exergy efficiency; Mass flow; Thermodynamics; Environmental science; Process engineering; Volumetric flow rate; Flow (mathematics); Computer science; Mechanics; Mathematics; Physics; Mechanical engineering; Mathematical optimization; 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":[0.0002786353,0.0000867149,0.0001121508,0.00006649332,0.0001465798,0.0001375714,0.0004153147,0.00001829721,0.0001221622],"category_scores_gemma":[0.00001072422,0.00006443049,0.000113187,0.00005267603,0.00006819489,0.0002758328,0.0000203767,0.00007753161,0.000001720771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003492343,"about_ca_system_score_gemma":0.0000515757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001809649,"about_ca_topic_score_gemma":0.00001621575,"domain_scores_codex":[0.999109,0.00001839724,0.0003029489,0.000107779,0.0003142523,0.0001475803],"domain_scores_gemma":[0.9993908,0.00009693848,0.0002420024,0.00003830168,0.0001970272,0.00003494746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005269581,0.0001221814,0.0007890708,0.000001489159,0.00008199889,0.000001523935,0.00008824852,0.05004034,0.02560426,0.8787988,0.000008761556,0.04441062],"study_design_scores_gemma":[0.0007326048,0.0003470446,0.003419474,0.00002713544,0.00002047607,0.000008972831,0.0001920508,0.4179897,0.001832961,0.57493,0.0003356973,0.0001638478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4215295,0.00003702091,0.5754296,0.0002754406,0.0005106956,0.00005189306,0.00004816763,0.000003268563,0.002114511],"genre_scores_gemma":[0.9893221,0.000001676342,0.009846219,0.00003949714,0.0007382688,0.000003860368,0.000007436001,0.000007540914,0.00003344397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5677926,"threshold_uncertainty_score":0.2627399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102270506505286,"score_gpt":0.274922569254154,"score_spread":0.2646955186036254,"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."}}