{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001587522,0.00006996713,0.0001168566,0.00001475148,0.0001486921,0.00005516619,0.0001298595,0.00005057922,0.00001758011],"category_scores_gemma":[0.000178557,0.00002522276,0.00003998552,0.0002661608,0.0001013506,0.00005758719,0.0000303169,0.0001031382,0.000004370821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009511822,"about_ca_system_score_gemma":0.00002184395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001276935,"about_ca_topic_score_gemma":0.00006356779,"domain_scores_codex":[0.9987331,0.0002319948,0.0001413174,0.0002261284,0.0003606447,0.0003067832],"domain_scores_gemma":[0.99941,0.0002337991,0.00003868658,0.00005054069,0.0002011324,0.00006584093],"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":[0.0000298262,0.0001171183,0.0001980462,0.000130317,0.000007366463,0.000001003301,0.0000429806,9.904314e-7,0.9551752,0.03078174,0.00009622173,0.01341922],"study_design_scores_gemma":[0.0008429904,0.004451673,0.2345289,0.0001452126,0.000007734231,0.000002396395,0.007337336,0.00003185506,0.7097827,0.03260281,0.009873862,0.0003924954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936918,0.001138422,0.000008722433,0.0006272908,0.00002088089,0.0004789942,0.0000186683,0.00001140293,0.0040038],"genre_scores_gemma":[0.9994957,0.00006489415,0.00006606813,0.00002356299,0.00002728193,0.00007059684,0.000003267258,7.155183e-7,0.0002479216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2453924,"threshold_uncertainty_score":0.1143634,"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."}}