{"id":"W2921503408","doi":"10.1139/cjps-2018-0177","title":"Construction of a high-density linkage map and QTL analysis for pistil abortion in apricot (<i>Prunus armeniaca</i> L.)","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Quantitative trait locus; Biology; Prunus armeniaca; Genetic linkage; Population; Prunus; Genetic marker; Gene mapping; Linkage (software); Gynoecium; Genetic distance; Genetics; Cultivar; Botany; Gene; Pollen; Genetic variation; Chromosome; Stamen","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":[0.0004216262,0.0005540491,0.0006279644,0.001264143,0.000338012,0.0003222623,0.000438793,0.0002835588,0.0007751509],"category_scores_gemma":[0.0002925165,0.0004124572,0.0008043009,0.0008176944,0.0002247028,0.0001514333,0.0005185137,0.0007173776,0.0003012042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003917741,"about_ca_system_score_gemma":0.0004079615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005389315,"about_ca_topic_score_gemma":0.005941928,"domain_scores_codex":[0.9997706,0.00002839634,0.00001695582,0.0001009958,0.00005044604,0.00003268779],"domain_scores_gemma":[0.99981,0.00004916721,0.0000450641,0.00001673223,0.00003071165,0.00004824718],"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":[0.0001440199,0.00008196818,0.00192709,0.00008178812,0.00003140264,0.0003486301,0.0001389415,0.001002775,0.9879363,0.0001805381,0.00005916837,0.008067312],"study_design_scores_gemma":[0.0008889565,0.001839857,0.5293757,0.00010051,0.000807988,0.002931122,0.0006315331,0.03411162,0.4115867,0.000813321,0.01669998,0.0002127926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410432,0.0005143316,0.05444663,0.00007486581,0.00001883551,0.0003872503,0.001733594,0.0003452127,0.001436089],"genre_scores_gemma":[0.8610012,0.0009565282,0.1258817,0.00008078042,0.00002089923,0.0004453866,0.008152925,0.0001054084,0.003355171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005389315,"threshold_uncertainty_score":0.01071584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00630296029589075,"score_gpt":0.19335770168532,"score_spread":0.1870547413894293,"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."}}