{"id":"W3167897329","doi":"10.1111/jfpe.13771","title":"Evaluating the heat and mass transfer effective coefficients during the convective drying process of paddy (<scp><i>Oryza sativa</i></scp> L.)","year":2021,"lang":"en","type":"article","venue":"Journal of Food Process Engineering","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Bu-Ali Sina University","keywords":"Biot number; Mass transfer; Thermal diffusivity; Convective heat transfer; Mass transfer coefficient; Diffusion; Heat transfer coefficient; Nusselt number; Thermodynamics; Convection; Chemistry; Reynolds number; Moisture; Heat transfer; Analytical Chemistry (journal); Turbulence; Chromatography; Physics","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":[0.0008032641,0.0001842893,0.0003032299,0.00002617986,0.0002794418,0.00008729771,0.0002427393,0.00006929809,0.000002731813],"category_scores_gemma":[0.0006411839,0.00006600983,0.0001177774,0.0004371292,0.00004960787,0.0001973031,0.00003253958,0.0004135596,2.022492e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002540012,"about_ca_system_score_gemma":0.00003770137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004785997,"about_ca_topic_score_gemma":0.00000661615,"domain_scores_codex":[0.9985516,0.0001015399,0.0004073625,0.0001985434,0.0004617773,0.0002791577],"domain_scores_gemma":[0.9983266,0.0008948091,0.0001315099,0.00005406489,0.0005165577,0.00007647851],"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":[0.0000393417,0.00004594798,0.0007588607,0.0002902335,0.0001659614,0.000006247195,0.006038747,0.1307915,0.8560269,0.00002264596,7.435189e-7,0.005812885],"study_design_scores_gemma":[0.0008604825,0.001368712,0.01173067,0.0009151204,0.0001747616,0.0002418021,0.008631458,0.0395408,0.936133,0.0002021281,0.00003646887,0.0001646496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952917,0.003239694,0.0009075124,0.0001260596,0.0001441432,0.0002240031,0.000008012023,0.00001993812,0.00003895504],"genre_scores_gemma":[0.9996438,0.00004757093,0.0000700872,0.00002876267,0.0001778899,0.00001849152,8.667211e-7,0.000004342591,0.000008173286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09125071,"threshold_uncertainty_score":0.2691803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784070637435564,"score_gpt":0.2543923518021018,"score_spread":0.2365516454277461,"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."}}