{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001224892,0.0002734264,0.0002025139,0.0005013178,0.0001936375,0.0001429483,0.0002192476,0.000127074,0.001220128],"category_scores_gemma":[0.00008498421,0.0001482255,0.0002594601,0.0003043625,0.0001592778,0.00007875147,0.0001864607,0.0003297639,0.0002245448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002113668,"about_ca_system_score_gemma":0.0002229939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001566447,"about_ca_topic_score_gemma":0.003979226,"domain_scores_codex":[0.9999384,0.000006180892,0.000006284517,0.00002354328,0.00001416354,0.00001145294],"domain_scores_gemma":[0.9998859,0.00002254596,0.00001816167,0.00000997447,0.00001433929,0.00004908352],"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":[0.0001054351,0.00002587412,0.001836076,0.00001617809,0.000006048679,0.0001031535,0.00004637605,0.00001659844,0.9960521,0.0000450694,0.00001988505,0.001727217],"study_design_scores_gemma":[0.0002419391,0.001329247,0.5918292,0.00001930284,0.0003246097,0.003515274,0.0005146706,0.001342077,0.3898344,0.0001783585,0.01082538,0.00004552344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975108,0.0001174455,0.001268725,0.00002284988,0.000005642165,0.0000188645,0.0003632311,0.00001807938,0.0006743009],"genre_scores_gemma":[0.9851009,0.0002544724,0.00624557,0.00004872771,0.000006317593,0.00006380105,0.003601243,0.00005218824,0.004626701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001566447,"threshold_uncertainty_score":0.004081786,"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."}}