{"id":"W1980353619","doi":"10.1080/07373937.2013.843189","title":"Effect of Convective Air Attributes with Microwave Drying of Soybean: Model Prediction and Experimental Validation","year":2014,"lang":"en","type":"article","venue":"Drying Technology","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ste. Anne's Hospital; McGill University","funders":"","keywords":"Relative humidity; Mass transfer; Water content; Microwave; Moisture; Inlet; Air temperature; Convection; Chemistry; Water activity; Materials science; Analytical Chemistry (journal); Environmental science; Meteorology; Chromatography; Composite material; Physics; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002669027,0.0001094095,0.0002233207,0.00004429262,0.00009420866,0.000005434219,0.00009500577,0.0001433434,0.000001643011],"category_scores_gemma":[0.00006379131,0.00004751105,0.00003030706,0.0001805824,0.0001556743,0.00006485428,0.00006358072,0.0000949716,4.60954e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001536538,"about_ca_system_score_gemma":0.000003704132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004008621,"about_ca_topic_score_gemma":0.000008048741,"domain_scores_codex":[0.99932,0.00004974481,0.000170327,0.0002227443,0.00009199828,0.0001451384],"domain_scores_gemma":[0.9995909,0.0001344649,0.0001321995,0.00005874028,0.00006158418,0.00002205104],"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":[0.00008325007,0.00002421617,0.006810884,0.00002001872,0.00001480062,1.601363e-7,0.00009796278,0.0005488626,0.9816947,0.0005218708,0.000004098352,0.01017918],"study_design_scores_gemma":[0.0003324745,0.001823511,0.0003029908,0.00006720002,0.00002000958,0.00000718343,0.0002052037,0.01941779,0.9773012,0.0004355012,0.000007455327,0.0000794837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977673,0.0001166816,0.001555642,0.0001490977,0.0000266829,0.0001624596,0.00001172386,0.0001175595,0.00009284329],"genre_scores_gemma":[0.9991857,0.000003576337,0.0007370732,0.00000936551,0.00001857544,0.00001848859,0.00001979339,0.000001543861,0.000005918819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01886893,"threshold_uncertainty_score":0.1937444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009527174964003512,"score_gpt":0.2147184038907067,"score_spread":0.2051912289267032,"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."}}