{"id":"W2062862052","doi":"10.1007/s11947-008-0129-z","title":"Modeling of Batch Dryers for Shrinkable Biological Materials","year":2008,"lang":"en","type":"article","venue":"Food and Bioprocess Technology","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Shrinkage; Mass transfer; Porosity; Volume (thermodynamics); Process engineering; Work (physics); Mechanics; Biological system; Materials science; Computer science; Mechanical engineering; Thermodynamics; Engineering; Physics; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.0001085316,0.0001153999,0.0002443507,0.00003195898,0.0001911346,0.000008445442,0.0001795086,0.0002637338,0.00001379946],"category_scores_gemma":[0.0000491045,0.00004516208,0.00003796447,0.0002216465,0.0001510923,0.00004277354,0.00007365466,0.00006023443,0.000001165998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004143445,"about_ca_system_score_gemma":0.000006762214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005735451,"about_ca_topic_score_gemma":0.00003000767,"domain_scores_codex":[0.9991837,0.000006711453,0.0002196886,0.0002778332,0.00005973382,0.0002523996],"domain_scores_gemma":[0.999747,0.00002818581,0.00005604244,0.00004389432,0.00009035376,0.00003445855],"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":[0.00007874082,0.00006779734,0.001430414,0.00004023414,0.00001963074,9.973674e-7,0.00004427027,0.0000583412,0.9797787,0.001945229,0.00001852256,0.01651711],"study_design_scores_gemma":[0.0006945814,0.004948596,0.0006488521,0.00009035092,0.00002464588,0.0001186808,0.001435427,0.006172729,0.9645183,0.01933485,0.001442758,0.0005702112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981138,0.0006425136,0.0002387045,0.0005506001,0.00005079086,0.0001554825,0.00005042687,0.0001482548,0.00004940287],"genre_scores_gemma":[0.998708,0.0002653355,0.0008443508,0.00003772571,0.0000600977,0.00003897035,0.00002208841,0.00000111591,0.00002233853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01738962,"threshold_uncertainty_score":0.2034156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04943550242404388,"score_gpt":0.2267677162985519,"score_spread":0.1773322138745081,"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."}}