{"id":"W2351797557","doi":"","title":"Breeding and Analysis on Characters of New Japonica Rice Variety Longdao No.10","year":2010,"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":"Japonica rice; Japonica; Variety (cybernetics); New Variety; Biology; Agronomy; Mathematics; Botany; Statistics; Cultivar","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":[0.0001965174,0.00006563645,0.0001395302,0.00002105156,0.00008618861,0.0000350452,0.0001398863,0.00007254608,0.0004028572],"category_scores_gemma":[0.00008534811,0.0000219374,0.00008126015,0.000507732,0.000047067,0.00005385603,0.00004666969,0.0001539054,0.00005804361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000405718,"about_ca_system_score_gemma":0.00000777708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008218217,"about_ca_topic_score_gemma":0.0002923429,"domain_scores_codex":[0.9993607,0.0000184786,0.00009956819,0.0001727108,0.0001763959,0.000172091],"domain_scores_gemma":[0.9995646,0.0001495947,0.00004634373,0.00004749595,0.00006896572,0.0001229702],"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":[0.00002674404,0.00002897957,0.01185632,0.000003313787,0.0000452008,7.841074e-7,0.00005229741,2.511572e-7,0.9840727,0.00007547312,0.0001103644,0.003727566],"study_design_scores_gemma":[0.00007079118,0.0001557794,0.9965026,0.000003140222,0.0000342347,7.582172e-7,0.0000477067,0.0001120302,0.002193289,0.00002944978,0.0007903541,0.0000599143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959055,0.00001233915,5.686491e-7,0.001069692,0.00005767368,0.00005299844,0.000007627945,0.00001421647,0.00287937],"genre_scores_gemma":[0.9965059,0.00002211549,0.00004923212,0.0000535699,0.0001475915,8.53653e-7,0.00001730248,3.844608e-7,0.00320303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9846463,"threshold_uncertainty_score":0.4411004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135775060776516,"score_gpt":0.2508058762548466,"score_spread":0.2294481256470815,"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."}}