{"id":"W2981601339","doi":"10.15760/etd.7090","title":"Malt Drying Model Verification for Efficiency Improvement","year":2000,"lang":"en","type":"report","venue":"","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Airflow; Environmental science; Water content; Inlet; Moisture; Kiln; Relative humidity; Humidity; Meteorology; Engineering; Waste management; Geotechnical engineering; Geography; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004746486,0.0002173447,0.000245605,0.00001558832,0.0002630227,0.0000755578,0.0002434573,0.0002615632,0.0001759646],"category_scores_gemma":[0.00004333871,0.00007699787,0.000205246,0.00009637714,0.0000163634,0.0000483203,0.00003186787,0.0001345153,0.00001462564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064335,"about_ca_system_score_gemma":0.0001035841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005806753,"about_ca_topic_score_gemma":0.0001533481,"domain_scores_codex":[0.9983214,0.000008601919,0.0003774159,0.0005215004,0.0004281666,0.0003429413],"domain_scores_gemma":[0.9994128,0.00005509477,0.0001501152,0.0000909536,0.0002163836,0.00007460463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003349672,0.0001245011,0.000008097182,0.00008853353,0.00002306912,4.003845e-7,0.00003863,0.005181156,0.09168158,0.0002044388,0.01078787,0.8918282],"study_design_scores_gemma":[0.0003820807,0.001251344,0.0001863235,0.0002277614,0.000174044,0.000009735521,0.0001993855,0.4498024,0.01007667,0.001424685,0.5346603,0.001605281],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7079439,0.001628083,0.008792313,0.002133837,0.001816312,0.003693912,0.000715279,0.0009561825,0.2723202],"genre_scores_gemma":[0.9604104,0.0007282221,0.001281521,0.0001996512,0.0007265018,0.0002332928,0.0008597882,0.000003721394,0.03555689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.890223,"threshold_uncertainty_score":0.3139882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09228529219188265,"score_gpt":0.2894664858941577,"score_spread":0.197181193702275,"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."}}