{"id":"W4402550928","doi":"10.1007/s42976-024-00577-5","title":"Identification and stability of QTLs for grain traits in the elite wheat variety ‘Chuanmai104’","year":2024,"lang":"en","type":"article","venue":"Cereal Research Communications","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Identification (biology); Agronomy; Biology; Elite; Quantitative trait locus; Grain yield; Variety (cybernetics); Biotechnology; Botany; Mathematics; Genetics; Gene; Political science; Statistics","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":[0.003168856,0.00004735518,0.00007862353,0.00002359641,0.0002676498,0.00009307518,0.0005565616,0.00005770495,0.00002021083],"category_scores_gemma":[0.0002023873,0.00001782202,0.00004202134,0.0004421155,0.000326605,0.00004828259,0.0001304043,0.0002066133,0.000002477518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000131741,"about_ca_system_score_gemma":0.00002256963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003055286,"about_ca_topic_score_gemma":0.003359847,"domain_scores_codex":[0.9988141,0.0005109156,0.0001940959,0.0001568581,0.0001530821,0.0001709492],"domain_scores_gemma":[0.9975097,0.002082906,0.00001585771,0.000210949,0.0001470268,0.00003356769],"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":[0.00002253682,0.0001862185,0.001053198,0.00006783121,0.000008225845,3.743709e-7,0.002889263,2.313598e-7,0.6477489,0.06867351,0.001484517,0.2778652],"study_design_scores_gemma":[0.0002480346,0.000605393,0.665354,0.0001201326,0.00002373964,0.000008026989,0.005612892,0.003227945,0.008768415,0.1959236,0.1198918,0.0002160329],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730532,0.004287098,0.00003355827,0.01986774,0.00002648313,0.0006180722,0.0002195673,0.00001251365,0.001881837],"genre_scores_gemma":[0.9970176,0.002481443,0.0001334997,0.00003032352,0.00003238484,0.0001494087,0.0000946927,6.473423e-7,0.00006000892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6643008,"threshold_uncertainty_score":0.2058573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1682262131984748,"score_gpt":0.3894267300724727,"score_spread":0.2212005168739979,"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."}}