{"id":"W2744086146","doi":"10.3389/fpls.2017.01448","title":"Fine Mapping of a Clubroot Resistance Gene in Chinese Cabbage Using SNP Markers Identified from Bulked Segregant RNA Sequencing","year":2017,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Clubroot; Biology; Genetics; Single-nucleotide polymorphism; Bulked segregant analysis; SNP; Variants of PCR; Gene; Population; Molecular Inversion Probe; dbSNP; Allele; Brassica; Chromosome; Genotype; Gene mapping; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007580126,0.0001872692,0.0003604481,0.0001040962,0.0004528587,0.0001651367,0.001111409,0.00007869836,0.00001271914],"category_scores_gemma":[0.0002780197,0.000095014,0.00006188208,0.0006330555,0.000463886,0.0004161491,0.0001772731,0.0001429957,0.000001304642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814092,"about_ca_system_score_gemma":0.0001093376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001872796,"about_ca_topic_score_gemma":0.01457954,"domain_scores_codex":[0.9979521,0.00005459087,0.0004145826,0.0005546458,0.0005076115,0.0005164422],"domain_scores_gemma":[0.9991692,0.00008303986,0.0003329666,0.0002370209,0.00004845615,0.000129346],"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":[0.0001407271,0.00002618565,0.2833353,0.00001862215,0.000006622684,0.0001480648,0.0001819148,0.0001303614,0.7144241,0.000006509477,0.0002208942,0.001360692],"study_design_scores_gemma":[0.000323381,0.00001462137,0.9733469,0.0004486189,0.000007666105,0.00000404938,0.0004722649,0.00687292,0.01690004,0.001164092,0.0001596599,0.0002857939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969956,0.0009141857,0.000109566,0.0001110759,0.0006438827,0.0002006984,0.0006676416,0.00001348102,0.0003438536],"genre_scores_gemma":[0.9954277,0.0001456455,0.004169611,0.00002558564,0.00007944801,0.000004858096,0.00004772504,0.000001363525,0.00009808766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6975241,"threshold_uncertainty_score":0.8135728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022485972042633,"score_gpt":0.2416941517158679,"score_spread":0.2114692919954416,"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."}}