{"id":"W3189101056","doi":"10.5539/jas.v13n9p122","title":"Determination and Analysis of the Content and Distribution of Mineral Elements in Black Rice by SEM-EDS","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Black rice; Brown rice; Horticulture; Biology; Chemistry; Mathematics; Food science; Agronomy; Ecology","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":[0.0005345353,0.00005036448,0.0001593404,0.00002141748,0.00007734309,0.00003661792,0.0001672708,0.00002522091,0.000008050013],"category_scores_gemma":[0.0001656971,0.00001315086,0.00006488132,0.001851473,0.0002332149,0.0002280201,0.00008325202,0.00007612975,5.521824e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003224768,"about_ca_system_score_gemma":0.00001507355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001214013,"about_ca_topic_score_gemma":0.0002449444,"domain_scores_codex":[0.9989613,0.00006581649,0.0002938214,0.0001015591,0.0004501397,0.0001274219],"domain_scores_gemma":[0.9991267,0.00008318812,0.0002657225,0.00002113248,0.0004416567,0.00006164163],"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":[0.000004151869,0.00004144356,0.1141097,0.000003958616,0.00001130808,7.311693e-7,0.0000714645,0.000007739858,0.8815296,0.00001167711,0.00003675191,0.004171484],"study_design_scores_gemma":[0.00009491151,0.00009335113,0.9676729,0.00002258663,0.00004176176,0.00001322968,0.0008386324,0.0002175966,0.03093962,0.000008370566,0.00002390831,0.00003311438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985666,0.0002742943,0.00000109473,0.001040978,0.00002457053,0.00004536506,0.00002382106,5.542189e-7,0.00002277548],"genre_scores_gemma":[0.99962,0.0002597799,0.00002608657,0.00001034016,0.00001259833,2.944571e-7,0.00000690871,9.188203e-8,0.00006385678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8535632,"threshold_uncertainty_score":0.08895715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358282145308526,"score_gpt":0.2650770532275131,"score_spread":0.2414942317744278,"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."}}