{"id":"W2986150547","doi":"10.1016/j.renene.2019.11.055","title":"Numerical analysis and validation of a natural convection mix-mode solar dryer for drying red chilli under variable conditions","year":2019,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Solar dryer; Relative humidity; Sunshine duration; Environmental science; Moisture; Mass transfer; Convection; Water content; Meteorology; Humidity; Natural convection; Atmospheric sciences; Environmental engineering; Thermodynamics; Geography; Engineering; Geology; Physics; Geotechnical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002818604,0.0002525618,0.000544338,0.00020751,0.0004665433,0.0004858458,0.0005826295,0.0006592734,0.001350667],"category_scores_gemma":[0.0005310607,0.0001906062,0.0003714688,0.0001972158,0.0003914243,0.0002765626,0.0003357649,0.0003313974,0.0001398314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004130325,"about_ca_system_score_gemma":0.0004087381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004379219,"about_ca_topic_score_gemma":0.003677396,"domain_scores_codex":[0.9999146,0.00001270238,0.000004837869,0.00001882062,0.00003485339,0.0000140847],"domain_scores_gemma":[0.999762,0.0001262579,0.00002214132,0.00002683895,0.00004451678,0.00001811563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004323314,0.0002744055,0.00430225,0.0002526545,0.0000398528,0.0002220739,0.0001672188,0.7775702,0.1977242,0.000878041,0.0005115252,0.01762525],"study_design_scores_gemma":[0.00004274211,0.0001506824,0.001868807,0.000004173378,0.00001113621,0.00002269125,0.00003477604,0.9741184,0.02326983,0.00008598276,0.0003802753,0.00001055758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780531,0.0001413801,0.01743746,0.00009345052,0.00002733938,0.0000563557,0.0001331077,0.0001613206,0.003896493],"genre_scores_gemma":[0.9929141,0.000045232,0.005978787,0.00001139329,0.000002953128,0.00002184911,0.00004319457,0.00001309495,0.0009692363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004379219,"threshold_uncertainty_score":0.008707464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121891996279455,"score_gpt":0.2299557799968068,"score_spread":0.2177665803688613,"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."}}