{"id":"W4226092595","doi":"10.5376/rgg.2022.13.0002","title":"Identification, Genetic Analysis and Fine Mapping of Early Senescence Mutant &lt;i&gt;esh&lt;/i&gt; in Rice","year":2022,"lang":"en","type":"article","venue":"Rice Genomics and Genetics","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panicle; Mutant; Biology; Genetic analysis; Senescence; Gene; Horticulture; Phenotype; Japonica; Genetics; Botany","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":[0.0001021707,0.0004328706,0.0002025066,0.0002873098,0.0001507236,0.0001408572,0.0002194609,0.000225894,0.0006879416],"category_scores_gemma":[0.00007451962,0.0002170045,0.0003147301,0.0001679085,0.0002075124,0.00009703589,0.0002327894,0.0004186815,0.000379343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002175921,"about_ca_system_score_gemma":0.0002201806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001885406,"about_ca_topic_score_gemma":0.002728769,"domain_scores_codex":[0.9999453,0.000004579573,0.000008346917,0.0000211639,0.00001178962,0.000008801593],"domain_scores_gemma":[0.9998658,0.00001247187,0.00005103678,0.00001611107,0.00001410125,0.00004055409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000237085,0.000006618665,0.0001804901,0.0000125093,0.00000219911,0.00006006416,0.0000106864,0.00002761878,0.999051,0.00003388212,0.00001380637,0.000577432],"study_design_scores_gemma":[0.0000905694,0.0004231102,0.08291555,0.00001756203,0.0001131063,0.002025025,0.0001399058,0.003266193,0.9021598,0.0001721338,0.008646285,0.00003081028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888943,0.0004295435,0.008438313,0.00008073443,0.00002508542,0.0000460039,0.001056774,0.0001555259,0.0008737203],"genre_scores_gemma":[0.979328,0.0005692185,0.01027514,0.00007963777,0.00001062669,0.00006427833,0.002752047,0.0001141518,0.00680691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001885406,"threshold_uncertainty_score":0.003748894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706442106241024,"score_gpt":0.2265312133230682,"score_spread":0.2094667922606579,"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."}}