{"id":"W2688501726","doi":"10.1007/s00122-017-2942-0","title":"Development and comparative genomic mapping of Dasypyrum villosum 6V#4S-specific PCR markers using transcriptome data","year":2017,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Genetics; National Key Research and Development Program of China; Chinese Academy of Agricultural Sciences; Agricultural Science and Technology Innovation Program; Institute of Crop Sciences, Chinese Academy of Agricultural Sciences; Chinese Academy of Sciences","keywords":"Biology; Genetics; Common wheat; Chromosome; Locus (genetics); Powdery mildew; Gene; Chromosomal translocation; Genome; Transcriptome; Gene expression; Botany","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002736586,0.0001672303,0.0002892765,0.00001137699,0.0004391211,0.00008583654,0.0004141105,0.0001007629,0.00008106221],"category_scores_gemma":[0.000003086367,0.00007737549,0.00002230691,0.00003817636,0.0009715706,0.00002311719,0.0003762165,0.00009361536,0.000002963116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000472838,"about_ca_system_score_gemma":0.00000844969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000344816,"about_ca_topic_score_gemma":0.00001172744,"domain_scores_codex":[0.9989572,0.00002955311,0.0002591602,0.0003759031,0.0001165315,0.0002616057],"domain_scores_gemma":[0.9995135,0.00006052131,0.00009267146,0.0001924213,0.00002257586,0.0001183003],"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":[0.00007432664,0.0000400419,0.0007118482,0.00001734108,0.00002374131,0.000001750464,0.0005352942,0.000002031119,0.8949003,0.04939171,0.00002082264,0.05428084],"study_design_scores_gemma":[0.002643524,0.0007959489,0.5756152,0.0001924431,0.0002350009,0.00009718208,0.008456064,0.005338315,0.2564206,0.06980999,0.07805304,0.002342614],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954972,0.0006903508,0.000135486,0.0001820775,0.00006239177,0.0001739064,0.00007707804,0.000008928346,0.003172584],"genre_scores_gemma":[0.9926943,0.0004847941,0.006602758,0.00004817066,0.0001008662,0.000002766752,0.00004709867,0.000001556221,0.00001764498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6384796,"threshold_uncertainty_score":0.3579792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071742479303983,"score_gpt":0.2665113029479348,"score_spread":0.1593370550175365,"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."}}