{"id":"W4409971408","doi":"10.5376/pgt.2024.15.0015","title":"Genomic Insights into Grain Size and Weight: The <i>GS2</i> Gene Role in Rice Yield Improvement","year":2024,"lang":"en","type":"article","venue":"Plant Gene and Trait","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grain yield; Gene; Yield (engineering); Biology; Grain size; Agronomy; Genetics; Physics; Materials science","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":[0.0001810141,0.000598422,0.000322545,0.0005573576,0.0002711742,0.0005960972,0.0003163404,0.0004527209,0.002093685],"category_scores_gemma":[0.0002063821,0.0002091262,0.0006584621,0.0007674935,0.0003811525,0.0005708411,0.0004619402,0.0009015236,0.0008435139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005265446,"about_ca_system_score_gemma":0.000476966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002274822,"about_ca_topic_score_gemma":0.002325428,"domain_scores_codex":[0.999893,0.000008255372,0.000006753876,0.00005200204,0.0000239414,0.00001606581],"domain_scores_gemma":[0.9998978,0.00001552126,0.00003174141,0.0000153022,0.00002010395,0.00001948471],"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":[0.000152202,0.00001578366,0.003054935,0.0001819698,0.00002017739,0.0003745587,0.0001361107,0.0005320934,0.9634022,0.003690626,0.0005863218,0.02785293],"study_design_scores_gemma":[0.00006928443,0.0004655582,0.2055975,0.0001762504,0.0004981172,0.003220473,0.0007536819,0.01219425,0.5646043,0.01427099,0.1979568,0.0001927486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.809011,0.01480292,0.1400519,0.002860957,0.0005711852,0.00009373527,0.006754674,0.002099659,0.02375409],"genre_scores_gemma":[0.9276407,0.007588574,0.03984699,0.0008328638,0.0001585069,0.00005489703,0.004768384,0.000482628,0.0186265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002274822,"threshold_uncertainty_score":0.007004023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006601201561393954,"score_gpt":0.1857599325624794,"score_spread":0.1791587310010854,"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."}}