{"id":"W2119968021","doi":"10.1007/s10681-006-9276-3","title":"Quantitative trait loci for early maturity and their potential in breeding for earliness in Brassica juncea","year":2006,"lang":"en","type":"article","venue":"Euphytica","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biology; Quantitative trait locus; Trait; Brassica; Doubled haploidy; Maturity (psychological); Marker-assisted selection; Selection (genetic algorithm); Phenotypic trait; Genetic variation; Plant breeding; Genetics; Agronomy; Phenotype; 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":[0.0001319984,0.00009915181,0.0001371592,0.0000412543,0.00005452613,0.00002978583,0.00007344118,0.00009181652,0.000002505628],"category_scores_gemma":[0.00002991119,0.00008910107,0.0000514793,0.00004326511,0.00004845425,0.000003641084,0.00003154227,0.00004338603,4.582712e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004764594,"about_ca_system_score_gemma":0.0000195847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000128622,"about_ca_topic_score_gemma":0.0001430025,"domain_scores_codex":[0.9993809,0.00001409736,0.0001326692,0.000230752,0.00003781908,0.0002037291],"domain_scores_gemma":[0.9998049,0.00003182707,0.00003404553,0.00006306936,0.00003852337,0.00002760868],"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":[0.001779523,0.0004479007,0.03468027,0.0003199261,0.0000658541,0.00001002262,0.0008736656,0.0004102713,0.9401541,0.005859252,0.01048872,0.004910475],"study_design_scores_gemma":[0.0152052,0.004359088,0.7272143,0.000303028,0.00008459517,0.0000261376,0.003498768,0.01632967,0.1291926,0.02403361,0.07794888,0.001804153],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906837,0.0002367707,0.007973954,0.0002261905,0.00007715283,0.0002462961,0.0001798751,0.000004904033,0.0003710954],"genre_scores_gemma":[0.9966767,0.00001735969,0.002709102,0.00005314334,0.0001530134,0.00001651057,0.00007345839,0.000007080332,0.0002936645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8109615,"threshold_uncertainty_score":0.3633436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421841286264692,"score_gpt":0.2381354503770068,"score_spread":0.2239170375143599,"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."}}