{"id":"W2261057109","doi":"10.1002/9781118534892.ch9","title":"Optimization of Drying Processes and Systems","year":2015,"lang":"en","type":"other","venue":"","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Payback period; Process engineering; Process (computing); System optimization; Work (physics); Computer science; Function (biology); Ideal (ethics); Key (lock); Biochemical engineering; Mathematical optimization; Engineering; Mechanical engineering; Mathematics; Production (economics); Economics","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":[0.0006081858,0.001018179,0.001051182,0.0003850352,0.0004771802,0.001468546,0.0005674939,0.0008862874,0.005228561],"category_scores_gemma":[0.0008244087,0.0003535376,0.0008400801,0.0006373786,0.0006459166,0.001015012,0.0008317299,0.0009418255,0.0008476392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006644271,"about_ca_system_score_gemma":0.0005804957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008028,"about_ca_topic_score_gemma":0.0007559634,"domain_scores_codex":[0.9995939,0.00009913193,0.00002106104,0.0001052338,0.0001365617,0.00004403696],"domain_scores_gemma":[0.9998432,0.00009035551,0.00002224887,0.0000158541,0.00002243373,0.00000587795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004096751,0.00006575716,0.0003451641,0.0007188544,0.00004901813,0.00009241639,0.00005174759,0.8501167,0.01464082,0.05421211,0.00203323,0.07763322],"study_design_scores_gemma":[0.00002214092,0.0001463634,0.0007798275,0.0000994373,0.00004385896,0.0001367365,0.0000525859,0.9134877,0.009996283,0.03932864,0.03587595,0.00003042876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03168081,0.01093812,0.9076585,0.0005507201,0.0002290124,0.0001619598,0.000365703,0.0004284858,0.04798667],"genre_scores_gemma":[0.6164703,0.02636667,0.3054241,0.0003134088,0.0002824554,0.0005378274,0.0008199372,0.0005828593,0.04920243],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005228561,"threshold_uncertainty_score":0.01749122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267847792909676,"score_gpt":0.2077797818224827,"score_spread":0.1951013038933859,"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."}}