{"id":"W2125683950","doi":"10.1186/1471-2164-14-313","title":"Meta-analyses of QTL for grain yield and anthesis silking interval in 18 maize populations evaluated under water-stressed and well-watered environments","year":2013,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"Monsanto (Canada)","funders":"Bill and Melinda Gates Foundation","keywords":"Quantitative trait locus; Biology; Confidence interval; Marker-assisted selection; Genetics; Internal medicine; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002920748,0.001320109,0.001931096,0.003499048,0.0005520885,0.001116234,0.0009189713,0.0006560332,0.0008401193],"category_scores_gemma":[0.002121462,0.000519007,0.005004226,0.003267598,0.0002992301,0.0004279636,0.001117091,0.0006384057,0.0001131821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006379183,"about_ca_system_score_gemma":0.0006027245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003392141,"about_ca_topic_score_gemma":0.005903209,"domain_scores_codex":[0.9986289,0.0003425871,0.000130889,0.0005579168,0.0002474606,0.00009230697],"domain_scores_gemma":[0.9982286,0.001008971,0.0002598957,0.0001949513,0.0001948842,0.0001126553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004188521,0.0003662177,0.4061895,0.002252972,0.08064315,0.001433039,0.001330869,0.01594116,0.4459728,0.0006021745,0.0004032031,0.04067636],"study_design_scores_gemma":[0.0002455481,0.001310684,0.8914088,0.0001604586,0.05189404,0.000767526,0.0009321338,0.02596003,0.02378363,0.0007472041,0.00262654,0.0001634188],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861449,0.002604088,0.009065595,0.00003983564,0.00001939817,0.00006222977,0.001648773,0.0001463444,0.0002688966],"genre_scores_gemma":[0.987017,0.0007084873,0.009099874,0.00005117602,0.00001111637,0.00007722664,0.002725681,0.00008937931,0.0002201678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003499048,"threshold_uncertainty_score":0.01544654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1904013797225885,"score_gpt":0.3103770375971479,"score_spread":0.1199756578745594,"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."}}