{"id":"W2561542761","doi":"10.3389/fpls.2016.01853","title":"Regulatory Role of OsMADS34 in the Determination of Glumes Fate, Grain Yield, and Quality in Rice","year":2016,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science and Technology Major Project; Natural Science Foundation of Zhejiang Province; Institute of Genetics; National Natural Science Foundation of China","keywords":"Yield (engineering); Grain yield; Agronomy; Biology; Quality (philosophy); Glume; Mathematics; Horticulture; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0008720027,0.00004524137,0.0000897287,0.00009852009,0.00002108757,0.000004924077,0.0002019164,0.00004109372,7.375501e-7],"category_scores_gemma":[0.0001500459,0.00002924579,0.00001197261,0.0001296908,0.000259381,0.000006875554,0.00004741021,0.00002479362,8.333794e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006450964,"about_ca_system_score_gemma":0.00003525327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001311976,"about_ca_topic_score_gemma":0.0001043927,"domain_scores_codex":[0.99942,0.00004049194,0.0001469067,0.0001555796,0.0001245411,0.0001124502],"domain_scores_gemma":[0.9997633,0.0000259913,0.0000661805,0.0001116274,0.00001716981,0.00001576439],"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":[0.00003174552,0.0000251748,0.3828679,0.00001377926,7.873907e-7,8.847093e-7,0.0003471126,0.00000236141,0.6118477,0.0001050054,0.00014877,0.004608827],"study_design_scores_gemma":[0.0003655331,0.0000849509,0.8481644,0.00008517098,0.000001940093,0.000003955965,0.001937661,0.0001187911,0.1479712,0.0006967984,0.0004807554,0.00008882929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986454,0.000278405,0.0003734605,0.00004233645,0.00005963643,0.0000581582,0.00003872187,7.077659e-7,0.0005031474],"genre_scores_gemma":[0.9990752,0.0001693216,0.0006827625,0.00002246761,0.000005513422,0.000001371007,0.000002369847,8.131057e-7,0.0000402025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4652965,"threshold_uncertainty_score":0.1192609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255545089878531,"score_gpt":0.2289470688989232,"score_spread":0.2163916180001378,"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."}}