{"id":"W1985784374","doi":"10.1007/s00122-009-1112-4","title":"Genetic structure and differentiation of Oryza sativa L. in China revealed by microsatellites","year":2009,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Ecotype; Subspecies; Biology; Japonica; Genetic structure; Genetic diversity; Microsatellite; Genetic variation; Oryza sativa; Allele; Population; Evolutionary biology; Botany; Ecology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004854248,0.0001373282,0.0001723697,0.00002841207,0.00004162167,0.00001775413,0.00007873755,0.0001287854,0.00002656159],"category_scores_gemma":[0.00001083929,0.0001167001,0.00001975469,0.00004546017,0.0002277353,8.526448e-7,0.00005393759,0.00006403916,4.105224e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001763254,"about_ca_system_score_gemma":0.000007519738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000180428,"about_ca_topic_score_gemma":0.000001054841,"domain_scores_codex":[0.9992971,0.00002697775,0.0001798455,0.0002489284,0.00007909574,0.0001680554],"domain_scores_gemma":[0.9997329,0.00001171851,0.00004938532,0.0001182808,0.00001556573,0.00007219391],"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":[0.00009087418,0.00004938343,0.01098472,0.00002905895,0.00001096714,4.710767e-7,0.0001269853,0.00001574682,0.9684067,0.007944944,0.0001406516,0.01219953],"study_design_scores_gemma":[0.00113491,0.0004906599,0.5508494,0.00002772775,0.00004080746,0.00001295683,0.00008679274,0.0001694425,0.4039623,0.04236012,0.0005343743,0.0003304708],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971387,0.001579039,0.0003681399,0.0001122056,0.00001306585,0.0001229956,0.00006218689,0.000004054885,0.0005996539],"genre_scores_gemma":[0.9969879,0.001375749,0.001380717,0.0001280168,0.00003459035,9.496554e-7,0.00005034886,0.000005552045,0.00003610828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5644444,"threshold_uncertainty_score":0.4758892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002555798886438763,"score_gpt":0.1892079367368287,"score_spread":0.1866521378503899,"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."}}