{"id":"W2064262181","doi":"10.1007/s00122-006-0326-y","title":"Fine mapping of a quantitative trait locus for grain number per panicle from wild rice (Oryza rufipogon Griff.)","year":2006,"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":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Panicle; Oryza rufipogon; Biology; Quantitative trait locus; Locus (genetics); Oryza sativa; Allele; Horticulture; Agronomy; 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":[0.0001534953,0.0001852813,0.0002428219,0.00002135896,0.0001011155,0.00002312284,0.0001402664,0.0001553335,0.00008443275],"category_scores_gemma":[0.00002014956,0.0001629966,0.00008510799,0.0000520974,0.0003847146,0.00000140843,0.00009397712,0.00006577406,0.000007350264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000297214,"about_ca_system_score_gemma":0.00001847702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002798235,"about_ca_topic_score_gemma":0.000008779351,"domain_scores_codex":[0.9989755,0.00002916108,0.0002551614,0.0003511998,0.0001214484,0.0002675922],"domain_scores_gemma":[0.9995332,0.00007411134,0.00008220236,0.0001705086,0.00005958866,0.00008038087],"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":[0.0002872704,0.0001299849,0.0006194116,0.00005463399,0.0000613575,7.117765e-7,0.0001580706,0.00006450113,0.8167744,0.1787958,0.001524657,0.001529199],"study_design_scores_gemma":[0.004440578,0.0009753132,0.01728659,0.00007500377,0.0002812949,0.00001548063,0.0015685,0.0008281561,0.671033,0.2720254,0.03034897,0.001121727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761786,0.0004691059,0.01764124,0.0001703057,0.00004569136,0.0002283012,0.000432162,0.00001144198,0.004823172],"genre_scores_gemma":[0.9876472,0.00007268644,0.01153986,0.0001324282,0.0001670322,0.00001318169,0.0002091297,0.00001620291,0.0002022572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1457415,"threshold_uncertainty_score":0.664681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009530643103798175,"score_gpt":0.2250064441364495,"score_spread":0.2154758010326514,"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."}}