{"id":"W1972253302","doi":"10.1007/s13197-014-1546-9","title":"Drying of chilli in a combined infrared and hot air rotary dryer","year":2014,"lang":"en","type":"article","venue":"Journal of Food Science and Technology","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Asian Institute of Technology","keywords":"Power consumption; Infrared; Air temperature; Materials science; Infrared heater; Environmental science; Mode (computer interface); Pulp and paper industry; Power (physics); Process engineering; Meteorology; Computer science; Thermodynamics; Engineering; Optics","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":[0.0003431591,0.0003491682,0.0006720505,0.0002981383,0.0005212692,0.0004459175,0.0006064386,0.0004052219,0.002456922],"category_scores_gemma":[0.0002679693,0.0002854333,0.0003676274,0.0003588753,0.0002177605,0.0003255386,0.0002232622,0.0006297391,0.0004714947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003144266,"about_ca_system_score_gemma":0.0003948002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002760609,"about_ca_topic_score_gemma":0.003687518,"domain_scores_codex":[0.9998413,0.000008727887,0.000008938928,0.0000480638,0.00007165516,0.00002124874],"domain_scores_gemma":[0.9998574,0.00004235899,0.00001373153,0.00003130871,0.00004017278,0.00001499017],"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":[0.0001919158,0.00003653173,0.0008948039,0.00008332392,0.00001252744,0.00006552311,0.00003981021,0.00437585,0.9894915,0.0001427811,0.0002141853,0.004451274],"study_design_scores_gemma":[0.00007393824,0.0003207941,0.01092723,0.0000163863,0.0000672212,0.0001394364,0.00005532176,0.06777122,0.9170139,0.0001211065,0.003470281,0.00002315982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9505043,0.0006577069,0.04365707,0.00009301013,0.0000977127,0.00009492432,0.0005393162,0.0005691067,0.003786919],"genre_scores_gemma":[0.9654872,0.0008173118,0.02740576,0.00006532033,0.00002619534,0.00008897597,0.000520083,0.0001608426,0.005428219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002760609,"threshold_uncertainty_score":0.008219242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170561822909097,"score_gpt":0.2062304228510902,"score_spread":0.1945248046219992,"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."}}