{"id":"W2031326084","doi":"10.1016/j.ijheatmasstransfer.2006.01.043","title":"Numerical modeling of heat and mass transfer during forced convection drying of rectangular moist objects","year":2006,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":146,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Materials science; Churchill–Bernstein equation; Heat transfer coefficient; Convection; Mass transfer; Convective heat transfer; Thermodynamics; Heat transfer; Mechanics; Mass transfer coefficient; Film temperature; Turbulence; Physics; Reynolds number; Nusselt number","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":[0.0001953598,0.0001196628,0.0002602745,0.00005484763,0.00007034675,0.00003154818,0.000105639,0.00007935854,0.00001839318],"category_scores_gemma":[0.00000928165,0.00006051503,0.0001353796,0.00007322877,0.000042846,0.0001802203,0.000006149023,0.0001414708,1.170463e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002410155,"about_ca_system_score_gemma":0.00001064777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005408372,"about_ca_topic_score_gemma":0.00005085059,"domain_scores_codex":[0.9988626,0.00003808296,0.0004886133,0.0001416343,0.0003280715,0.0001409637],"domain_scores_gemma":[0.9996043,0.00006135074,0.00002426033,0.0000218619,0.0002274636,0.0000607952],"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":[0.0003862489,0.00004402499,0.002336764,0.00003080885,0.00006393026,0.00001015071,0.000194117,0.01820454,0.9774,0.0001482668,0.000001581832,0.001179546],"study_design_scores_gemma":[0.003941062,0.001279182,0.01029896,0.0009592119,0.0001971643,0.0004512657,0.001282801,0.2249054,0.7528791,0.003086014,0.0001491402,0.0005706553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841831,0.0007982675,0.01412428,0.0004304581,0.0001944395,0.00006638413,0.00001353816,0.000009259676,0.0001802735],"genre_scores_gemma":[0.9992173,0.0003096138,0.0002151768,0.00002439425,0.0002072013,0.000001379191,0.000006351546,0.000002411375,0.00001622271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2245209,"threshold_uncertainty_score":0.2467731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304210976121036,"score_gpt":0.2167113293558534,"score_spread":0.203669219594643,"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."}}