{"id":"W2384755309","doi":"","title":"Breeding of New Rice Variety Xiangyu No.3","year":2007,"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":"Variety (cybernetics); New Variety; Biology; Agronomy; Mathematics; Cultivar; Statistics","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":[0.0003126412,0.00004775686,0.00007578605,0.000007102114,0.00006435755,0.00001316517,0.0001434381,0.00004384246,0.0001874076],"category_scores_gemma":[0.00005407801,0.00001507648,0.00004917692,0.000302524,0.00002569126,0.00004564693,0.00004237005,0.00007511724,0.0001237646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008960089,"about_ca_system_score_gemma":0.000007583432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001207383,"about_ca_topic_score_gemma":0.0001672481,"domain_scores_codex":[0.9993796,0.00001014463,0.0001023167,0.0001038613,0.0001836359,0.0002204956],"domain_scores_gemma":[0.9996536,0.0001174181,0.00003042301,0.00002518612,0.0000678966,0.0001055246],"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":[0.00001658072,0.0000223358,0.007409564,0.000004517401,0.000004389351,0.000003644708,0.00005756487,2.106432e-7,0.9825264,0.0001104602,0.0007707166,0.009073603],"study_design_scores_gemma":[0.00007486848,0.0001377226,0.9809988,0.000007116166,0.000002586303,0.0000040932,0.0002198028,0.00001448396,0.010938,0.0001597124,0.007387105,0.00005568733],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784054,0.00006961718,0.00001912445,0.0005232755,0.00008906077,0.00005877525,0.000002496667,0.00002410324,0.02080814],"genre_scores_gemma":[0.99445,0.00001614203,0.0001879947,0.00006375574,0.0003432069,2.676588e-7,0.000004805819,3.230291e-7,0.004933548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9735892,"threshold_uncertainty_score":0.2051982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353396613501335,"score_gpt":0.2670679803164051,"score_spread":0.2317283189662716,"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."}}