{"id":"W2094539723","doi":"10.1007/s12284-010-9054-7","title":"Dynamic Oryza Genomes: Repetitive DNA Sequences as Genome Modeling Agents","year":2010,"lang":"en","type":"article","venue":"Rice","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"College of Engineering, Michigan State University; McGill University; Michigan State University; National Science Foundation","keywords":"Genome; Transposable element; Biology; Genome evolution; Repeated sequence; Genetics; Oryza; DNA sequencing; Oryza sativa; Context (archaeology); Evolutionary biology; Genome project; Genomics; DNA; Gene","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":[0.00020881,0.0002542032,0.0002259883,0.0002858557,0.0002589258,0.0004375738,0.0005508132,0.000268531,0.001753067],"category_scores_gemma":[0.0005701567,0.0002450067,0.0003597702,0.0003472015,0.0001832105,0.000644647,0.0004042604,0.0004123808,0.0003261623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003417623,"about_ca_system_score_gemma":0.0002349892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002968773,"about_ca_topic_score_gemma":0.00219145,"domain_scores_codex":[0.999945,0.00002246301,0.000002792882,0.00001638801,0.000008793328,0.000004499119],"domain_scores_gemma":[0.9998924,0.00005596202,0.00001758949,0.00001905051,0.00000794179,0.000006952796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001977793,0.00007597161,0.008100146,0.0001637651,0.00009025897,0.0002480677,0.0004210982,0.857839,0.06023929,0.04556381,0.001536176,0.02552451],"study_design_scores_gemma":[0.00001965499,0.00002528453,0.001113234,0.000009053233,0.00001357075,0.00005284067,0.00006186149,0.9802936,0.003172598,0.009518477,0.005711336,0.000008514042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.552994,0.0006242279,0.4341734,0.0004858897,0.00004162018,0.00009729255,0.00277443,0.002557929,0.006251314],"genre_scores_gemma":[0.7717608,0.0005301915,0.2228184,0.00004468951,0.00001866959,0.0001787623,0.002243092,0.0004293992,0.001976001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002968773,"threshold_uncertainty_score":0.005903006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826963887532923,"score_gpt":0.2389176137422604,"score_spread":0.2206479748669311,"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."}}