{"id":"W3134008084","doi":"10.1186/s12284-021-00468-x","title":"OryzaGenome2.1: Database of Diverse Genotypes in Wild Oryza Species","year":2021,"lang":"en","type":"article","venue":"Rice","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Institute of Genetics; Japan Agency for Medical Research and Development","keywords":"Oryza rufipogon; Biology; Genome; Oryza; Oryza sativa; Single-nucleotide polymorphism; Genetics; Nucleotide diversity; Genotype; Genomics; Botany; Gene; Haplotype","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001343469,0.003018506,0.00274547,0.006463628,0.0007750217,0.002201824,0.002583521,0.001566215,0.02409972],"category_scores_gemma":[0.003188675,0.00131691,0.001554702,0.008149759,0.0003927306,0.002838076,0.003277005,0.001537419,0.02712893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000680387,"about_ca_system_score_gemma":0.001895351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002772019,"about_ca_topic_score_gemma":0.002806154,"domain_scores_codex":[0.9990335,0.00009005445,0.0002281752,0.0003560901,0.0001585372,0.0001337609],"domain_scores_gemma":[0.9986635,0.0002453531,0.0003257746,0.0003378559,0.0002454008,0.0001821198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005840221,0.0004526723,0.02043694,0.01926558,0.001057453,0.001764949,0.001819275,0.002560297,0.1100758,0.004569529,0.7196692,0.112488],"study_design_scores_gemma":[0.0006416854,0.0001577836,0.03758476,0.0007532668,0.0005777436,0.001064135,0.0003162663,0.001460466,0.009880758,0.002404087,0.9449296,0.0002293171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00857607,0.001102903,0.004367166,0.00009568213,0.00007717041,0.000100593,0.9657784,0.01768712,0.002214895],"genre_scores_gemma":[0.005950215,0.0004372801,0.007491483,0.0000690604,0.00001887747,0.000185439,0.9827153,0.002548973,0.0005834281],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02409972,"threshold_uncertainty_score":0.08062154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020459147680222,"score_gpt":0.2276145286611765,"score_spread":0.2071553809809545,"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."}}