{"id":"W4240364176","doi":"10.1002/9781118534892.ch7","title":"Drying Parameters and Correlations","year":2015,"lang":"en","type":"other","venue":"","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Biot number; Dimensionless quantity; Moisture; Mass transfer; Thermal diffusivity; Water content; Process (computing); Reynolds number; Thermodynamics; Materials science; Mathematics; Computer science; Physics; Turbulence; Engineering; Geotechnical engineering","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":[0.002512408,0.001443664,0.001242738,0.002819965,0.0006927081,0.002952766,0.001117523,0.001550091,0.01261526],"category_scores_gemma":[0.01646075,0.0007984035,0.00110745,0.003840558,0.001095967,0.004985213,0.001156622,0.002216661,0.005433639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019197,"about_ca_system_score_gemma":0.0008676586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001584154,"about_ca_topic_score_gemma":0.0008510379,"domain_scores_codex":[0.9975018,0.0004669933,0.0001829335,0.0006573808,0.001030262,0.0001606848],"domain_scores_gemma":[0.9958541,0.002052523,0.0005227987,0.0005620533,0.0009292233,0.00007934265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002504537,0.0002288718,0.02348304,0.002292545,0.0003291661,0.001032488,0.0005917107,0.2900365,0.02836344,0.3070178,0.03549744,0.3108766],"study_design_scores_gemma":[0.00004913542,0.0002382477,0.02802944,0.0008008633,0.0002681602,0.002071499,0.00067683,0.3755829,0.04154213,0.3147854,0.2354878,0.000467661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1000067,0.02342561,0.7257777,0.001832084,0.001396447,0.0005204297,0.006405997,0.003850806,0.1367842],"genre_scores_gemma":[0.7989494,0.02103835,0.1285286,0.0009152623,0.0005757829,0.0006052608,0.006731293,0.002940426,0.03971569],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01261526,"threshold_uncertainty_score":0.04220223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04976866153388845,"score_gpt":0.227540420412739,"score_spread":0.1777717588788505,"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."}}