{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002512876,0.0003983032,0.0003306555,0.000274821,0.000160972,0.0002576731,0.0001115101,0.0002041815,0.0005402446],"category_scores_gemma":[0.0002889718,0.00009783484,0.0003962413,0.0001969024,0.0001862929,0.0002970177,0.0002024519,0.0002658305,0.00009290784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002301426,"about_ca_system_score_gemma":0.0001666023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008631801,"about_ca_topic_score_gemma":0.0006666607,"domain_scores_codex":[0.9998776,0.00002252806,0.00001838894,0.00003108075,0.00002768094,0.00002278853],"domain_scores_gemma":[0.9998277,0.00003075774,0.00005250343,0.00001462972,0.00004663583,0.00002765016],"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":[0.001184146,0.00008307258,0.01021904,0.0006203201,0.00008155116,0.0004730815,0.0002101415,0.0004930047,0.9504468,0.0003744368,0.0002466303,0.03556785],"study_design_scores_gemma":[0.00003781203,0.002981448,0.2393335,0.0000935753,0.0006605313,0.001439218,0.000401585,0.001604904,0.7329152,0.0007478226,0.01973005,0.00005426425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619384,0.03312618,0.001961102,0.0001418868,0.0001609227,0.00002848261,0.000221412,0.00007633842,0.002345318],"genre_scores_gemma":[0.9770691,0.01848608,0.001362693,0.0002166021,0.00006581712,0.00001790224,0.0002637502,0.00002406052,0.002493944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008631801,"threshold_uncertainty_score":0.001807332,"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."}}