{"id":"W2980215020","doi":"","title":"Research progresses on appearance quality of rice grain and strategies for its molecular improvement","year":2003,"lang":"en","type":"article","venue":"分子植物育种","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Grain quality; Biotechnology; Agricultural engineering; Agronomy; Computer science; Biology; Engineering; Physics","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":[0.001130576,0.0005785195,0.0004716114,0.000732332,0.0002792202,0.0008082884,0.0004552653,0.0003630858,0.002133382],"category_scores_gemma":[0.0005400955,0.0001861558,0.0004338099,0.0004588488,0.0005619266,0.0008767365,0.0005258707,0.001052833,0.0004130585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006841214,"about_ca_system_score_gemma":0.0007643306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001017182,"about_ca_topic_score_gemma":0.001271957,"domain_scores_codex":[0.9995721,0.000058038,0.00003353579,0.0001462466,0.0001522259,0.00003786782],"domain_scores_gemma":[0.9994687,0.0001346983,0.00007552966,0.00006594401,0.0001917276,0.00006334912],"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":[0.0002849961,0.00008984083,0.004087634,0.0008271708,0.00003274198,0.0002314979,0.0002799963,0.000826398,0.7706923,0.007486718,0.0004557447,0.214705],"study_design_scores_gemma":[0.00009435949,0.002049221,0.05990223,0.0003158753,0.000469425,0.003042265,0.000801032,0.0054667,0.7313698,0.008027012,0.1883379,0.0001242087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.593699,0.1526771,0.2158079,0.005364585,0.0007140082,0.0001355455,0.0004619351,0.0008606975,0.03027913],"genre_scores_gemma":[0.7917472,0.1040673,0.08579491,0.0009241152,0.0004502335,0.00006974799,0.0009279869,0.0001332182,0.01588533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002133382,"threshold_uncertainty_score":0.007136822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1359584868835976,"score_gpt":0.4136943401965975,"score_spread":0.2777358533129999,"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."}}