{"id":"W2383582399","doi":"","title":"Developmental Actuality and Perspective of Biotechnology in Rice Breeding","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Biotechnology; Biology; Agronomy; Computer science; Artificial intelligence","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":[0.00009369614,0.00003570291,0.00007379002,0.00001531599,0.00005847037,0.000002535259,0.00006560265,0.00005687103,0.00001841015],"category_scores_gemma":[0.00005338054,0.00001270877,0.00001175257,0.0002573224,0.0001111994,0.00003240228,0.00005572386,0.00006840238,0.000003959274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000274831,"about_ca_system_score_gemma":0.000007710439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001436924,"about_ca_topic_score_gemma":0.0003440652,"domain_scores_codex":[0.9996212,0.00001791827,0.00006545135,0.000107517,0.00007242689,0.0001154578],"domain_scores_gemma":[0.9998677,0.00006330236,0.0000162884,0.000008348003,0.00002174048,0.00002261968],"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":[0.000008956101,0.00002644294,0.032226,0.000001783234,0.000002503768,0.000004246588,0.0005230894,2.637247e-8,0.9654232,0.0003969429,0.000005123637,0.00138166],"study_design_scores_gemma":[0.00007238789,0.00006602574,0.9655824,0.000003474652,4.300746e-7,0.00001972608,0.004677532,0.000004523638,0.02929124,0.0001968016,0.00005026392,0.00003522119],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968422,0.0000824696,2.88852e-7,0.001476941,0.000006850573,0.00005118253,0.000002755397,0.0000118542,0.001525429],"genre_scores_gemma":[0.9996936,0.0001342232,0.00007696306,0.00001371317,0.000011716,0.000001176025,9.677581e-7,1.545957e-7,0.00006751581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.936132,"threshold_uncertainty_score":0.2172209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04488963426789262,"score_gpt":0.2666705716310557,"score_spread":0.2217809373631631,"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."}}