{"id":"W4318338123","doi":"10.1007/s40997-023-00595-4","title":"Eco-thermal Analysis and Response Surface Optimization of the Drying Rate of Potato Slices in a Mix-Mode Solar Dryer","year":2023,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Mechanical Engineering","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Tertiary Education Trust Fund","keywords":"Solar dryer; Tray; Relative humidity; Water content; Environmental science; Solar energy; Payback period; Moisture; Carbon footprint; Pulp and paper industry; Materials science; Meteorology; Composite material; Engineering; Geography; Greenhouse gas; 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":[0.001379523,0.00006490534,0.0002185212,0.0002889016,0.00008962619,0.000009051326,0.0002357725,0.00007915073,0.000003745387],"category_scores_gemma":[0.000173159,0.00003057752,0.00006214566,0.003140642,0.0002075386,0.0001583801,0.00001927591,0.0001652542,3.785816e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001233066,"about_ca_system_score_gemma":0.00002806013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005906875,"about_ca_topic_score_gemma":0.00004881684,"domain_scores_codex":[0.9992206,0.00003188653,0.0003344855,0.0001141076,0.0001602077,0.0001387372],"domain_scores_gemma":[0.9994633,0.0001480977,0.0001475022,0.00005041651,0.0001533303,0.00003736601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003125079,0.00001131582,0.0003768272,0.000006907442,0.00001926614,8.096878e-7,0.0001218141,0.2874706,0.7089789,0.00002919052,4.312743e-8,0.002953077],"study_design_scores_gemma":[0.0003013276,0.000339488,0.01246044,0.0001590932,0.0001117757,0.00001904343,0.00123752,0.5175353,0.4676194,0.0001126686,0.000004092902,0.00009981015],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906035,0.00007945914,0.008451767,0.0007670001,0.00003823222,0.00004118349,0.000005690668,0.00001251299,6.639627e-7],"genre_scores_gemma":[0.9973962,0.00009424516,0.002499203,0.000003802232,0.000003034301,5.789844e-7,1.125656e-7,8.847927e-7,0.00000193012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2413595,"threshold_uncertainty_score":0.1508974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009352011160865849,"score_gpt":0.2131460969556821,"score_spread":0.2037940857948163,"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."}}