{"id":"W2385657613","doi":"","title":"Analysis of Genetic Diversity in Tibetan Brassica Grain Weight","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Brassica; Genetic diversity; Diversity (politics); Biology; Agronomy; Demography; Sociology; Anthropology","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":[0.0004433505,0.0003078722,0.0002523823,0.001657624,0.0004132352,0.000303359,0.0002655241,0.0002319282,0.001009997],"category_scores_gemma":[0.0003030381,0.0001622607,0.0002629288,0.001184569,0.0003541229,0.000095401,0.0002595034,0.0002804884,0.0001181508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004192328,"about_ca_system_score_gemma":0.0002566379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008129452,"about_ca_topic_score_gemma":0.01668058,"domain_scores_codex":[0.9997808,0.00006133045,0.00001473493,0.00007441296,0.00003639921,0.00003229121],"domain_scores_gemma":[0.9996549,0.0001113688,0.00005556863,0.00002272621,0.00004141121,0.0001140475],"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":[0.001255917,0.0001317143,0.2116573,0.00005480026,0.0003041115,0.0004093157,0.001326237,0.000333695,0.7775761,0.00038066,0.00005774873,0.006512309],"study_design_scores_gemma":[0.00002099732,0.0001612038,0.9945175,0.000002926753,0.00005172346,0.0002025517,0.0002327091,0.0007553748,0.003708106,0.00006279728,0.000276096,0.000007952121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996438,0.00002958226,0.00009669476,0.000003587034,0.000001035137,0.000001689972,0.00005081993,0.00000249016,0.0001702669],"genre_scores_gemma":[0.9992929,0.00002557176,0.0001510893,0.000008022703,0.000001880415,0.00000309786,0.0001775614,0.000003960855,0.0003359565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008129452,"threshold_uncertainty_score":0.01616424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005892223319405238,"score_gpt":0.2262866878637698,"score_spread":0.2203944645443646,"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."}}