{"id":"W4402070093","doi":"10.5376/rgg.2024.15.0017","title":"Functional and Structural Insights from the <i>Oryza</i> Genome: Implications for Crop Enhancement","year":2024,"lang":"en","type":"article","venue":"Rice Genomics and Genetics","topic":"Plant Genetic and Mutation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oryza sativa; Crop; Genome; Oryza; Biology; Agronomy; Genetics; Gene","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":[0.0003046232,0.0005973248,0.0003881817,0.0003680185,0.0002746887,0.0005329631,0.0003217149,0.0004124738,0.002523471],"category_scores_gemma":[0.0001983229,0.0001649503,0.0005238608,0.0004111332,0.000379811,0.0009957692,0.0003611224,0.001356837,0.0006644134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005846242,"about_ca_system_score_gemma":0.0008856003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002252128,"about_ca_topic_score_gemma":0.002072979,"domain_scores_codex":[0.9999399,0.000006675632,0.000004821989,0.00001963423,0.00001410081,0.00001487906],"domain_scores_gemma":[0.9998714,0.00001934638,0.0000457338,0.00001988025,0.0000153109,0.00002835882],"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":[0.0001646385,0.000023219,0.001045101,0.0001780583,0.00001249468,0.0001810699,0.00008306294,0.0005984797,0.9792661,0.002459714,0.000510755,0.01547738],"study_design_scores_gemma":[0.0001317857,0.0008325223,0.1049008,0.0003322207,0.0004239566,0.00300514,0.001400009,0.01307658,0.6540254,0.02163269,0.2001007,0.0001381881],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8932891,0.01175924,0.05939488,0.007630995,0.0003840616,0.00009270151,0.01112513,0.00245909,0.01386474],"genre_scores_gemma":[0.9253799,0.007872433,0.05248209,0.0009797097,0.0001156757,0.00005296154,0.007809713,0.000355339,0.004952148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002523471,"threshold_uncertainty_score":0.008441865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347303957444515,"score_gpt":0.2283496170061922,"score_spread":0.2048765774317471,"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."}}