{"id":"W2977704944","doi":"10.5539/jas.v11n17p44","title":"Effects of Rice Aging on Its Main Nutrients and Quality Characters","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nanhu Scholars Program for Young Scholars of Xinyang Normal University; Xinyang Normal University; National Natural Science Foundation of China","keywords":"Nutrient; Starch; Rice plant; Agronomy; Accelerated aging; Food science; Chemistry; Biology","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":[0.001072802,0.0001016122,0.0002256559,0.00003573408,0.0001517952,0.00007706038,0.0004337196,0.00004052938,0.00001866798],"category_scores_gemma":[0.0002177701,0.00002716066,0.00008522608,0.0008093059,0.0001215983,0.0005112775,0.00009059953,0.0001965892,0.00001528177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005366779,"about_ca_system_score_gemma":0.00001905008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003897702,"about_ca_topic_score_gemma":0.000003735785,"domain_scores_codex":[0.9982477,0.00009508241,0.000293741,0.0001875966,0.0008738151,0.000302104],"domain_scores_gemma":[0.9986956,0.0004360703,0.0003427173,0.00003026379,0.0002934436,0.0002019604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002141542,0.00007151044,0.00526098,0.00004058791,0.000004892436,0.0000027397,0.0001030679,0.000001580817,0.9920675,0.000176704,0.00002578854,0.002223218],"study_design_scores_gemma":[0.000182747,0.000456347,0.8643326,0.0001040753,0.000004560845,0.00002490583,0.0003207049,0.000001692738,0.134415,0.00001675566,0.00006592376,0.00007470289],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981687,0.0001628619,1.415331e-7,0.001021395,0.0002025463,0.0001618309,0.000002618514,0.000004607309,0.0002753133],"genre_scores_gemma":[0.9994146,0.000139501,0.00001882076,0.0000612128,0.0001099312,6.35406e-7,5.118511e-7,3.035173e-7,0.00025448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8590716,"threshold_uncertainty_score":0.1167501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611837873065625,"score_gpt":0.2857356398532278,"score_spread":0.2596172611225715,"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."}}