{"id":"W1990204610","doi":"10.1017/s147926211300021x","title":"Genetic diversity analyses of <i>Brassica napus</i> accessions using SRAP molecular markers","year":2013,"lang":"en","type":"article","venue":"Plant Genetic Resources","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Biology; Genetic diversity; Software maintainer; Inbred strain; Brassica; Genetics; Cultivar; Backcrossing; Inbreeding; Molecular marker; Cytoplasmic male sterility; Genetic marker; Botany; Sterility; Gene; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003129641,0.0002490399,0.0002909026,0.001769928,0.000297282,0.0002807833,0.0002210789,0.0001768269,0.0007026494],"category_scores_gemma":[0.0003991752,0.0001163725,0.0003087834,0.001011221,0.0001274293,0.0001103522,0.0002024183,0.0002325899,0.0003166983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002141214,"about_ca_system_score_gemma":0.0001341592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002490381,"about_ca_topic_score_gemma":0.003574888,"domain_scores_codex":[0.9997267,0.00004171114,0.0000311672,0.0001129794,0.00005726871,0.00003008533],"domain_scores_gemma":[0.9996367,0.00007498865,0.0001141919,0.00003210234,0.00008321562,0.00005891688],"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":[0.000251198,0.00005551748,0.04913355,0.0001370824,0.0001013165,0.0002065146,0.0007594201,0.0002086413,0.9362089,0.00007373658,0.00008017858,0.01278385],"study_design_scores_gemma":[0.00002840187,0.0004141212,0.9593489,0.00002836473,0.0001127711,0.0009074632,0.000335373,0.0008697945,0.03482775,0.00009782141,0.003006268,0.0000230115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974747,0.0001653145,0.0009763945,0.00001138801,0.000001862275,0.00002376152,0.0008773462,0.00002797205,0.0004411561],"genre_scores_gemma":[0.9859119,0.000257953,0.006060643,0.00002632935,0.000006785697,0.00007393256,0.007168438,0.00002133864,0.0004726749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002490381,"threshold_uncertainty_score":0.004951835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757914296101497,"score_gpt":0.2612318286722977,"score_spread":0.2336526857112827,"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."}}