{"id":"W1989725627","doi":"10.5539/jas.v2n2p214","title":"The Drying Effect of Varying Light Frequencies on the Proximate and Microbial Composition of Tomato","year":2010,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food spoilage; Food science; Sugar; Total Viable Count; Micrococcus luteus; Horticulture; Chemistry; Composition (language); Botany; Biology; Bacteria","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001450418,0.00009298394,0.0001592639,0.00001375826,0.0006268344,0.0001115757,0.0004397295,0.00003574142,0.000003835108],"category_scores_gemma":[0.0001810856,0.00001850767,0.00008575356,0.0003374183,0.0003329988,0.0002331738,0.00006260577,0.0002213577,5.547956e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001299239,"about_ca_system_score_gemma":0.00001218927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000407514,"about_ca_topic_score_gemma":0.00002342955,"domain_scores_codex":[0.9989613,0.00006566293,0.0003033465,0.0001047439,0.000384351,0.0001805621],"domain_scores_gemma":[0.9987495,0.0004894989,0.0004104666,0.00004179173,0.0002507264,0.00005801949],"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":[0.0000268526,0.00001194031,0.000377189,0.000005067309,0.000004687973,3.391779e-7,0.0001662672,0.00002385303,0.9952333,0.000337381,0.00004607813,0.003767027],"study_design_scores_gemma":[0.00009418126,0.0006166013,0.05676719,0.0001274863,0.00001383902,0.00009080912,0.0002588121,0.00008010446,0.9417462,0.00007957069,0.00005866,0.00006650888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966459,0.00008697956,5.972068e-7,0.002714162,0.0002411444,0.0001152367,0.000002190764,0.000005549828,0.000188287],"genre_scores_gemma":[0.9997529,0.00002388134,0.00008320958,0.00002842709,0.0001023529,0.000001126841,2.994411e-7,3.462652e-7,0.00000745156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05639001,"threshold_uncertainty_score":0.4821167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009195554067320097,"score_gpt":0.2113174528059354,"score_spread":0.2021218987386153,"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."}}