{"id":"W2057800037","doi":"10.1007/s001220051681","title":"Identification of molecular markers for resistance to Septoria nodorum blotch in durum wheat","year":2001,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"University of British Columbia; Western Grains Research Foundation; Ministry of Agriculture - Saskatchewan","keywords":"Septoria; Biology; Bulked segregant analysis; Marker-assisted selection; Common wheat; RAPD; Genetic marker; Molecular marker; Genetics; Cultivar; Selection (genetic algorithm); Secale; Plant disease resistance; Gene; Gene mapping; Horticulture; Agronomy; Population; Chromosome; Genetic diversity","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002809578,0.0003934493,0.0003256571,0.001161495,0.000236614,0.0004198726,0.0002990333,0.0004832437,0.0006776704],"category_scores_gemma":[0.0005520215,0.000277513,0.0002482457,0.0004449353,0.0002243975,0.0002020899,0.0002503507,0.0005598088,0.0002613266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103826,"about_ca_system_score_gemma":0.0001252028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522928,"about_ca_topic_score_gemma":0.001780444,"domain_scores_codex":[0.9998017,0.00003357387,0.00001805265,0.00006586365,0.00003873128,0.00004217307],"domain_scores_gemma":[0.9995578,0.0001576975,0.0001262521,0.00003240196,0.00004259702,0.00008326803],"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":[0.0001868847,0.00005877957,0.00382536,0.00002685881,0.00001141512,0.00006640371,0.0001005536,0.00004444245,0.9932321,0.00005547937,0.00002496015,0.002366916],"study_design_scores_gemma":[0.0001592078,0.001573705,0.6615563,0.00002648008,0.0001947001,0.001172612,0.0005620257,0.001290045,0.3293242,0.0002437847,0.003867134,0.00002977011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982405,0.000216578,0.0007800742,0.00003171785,0.0000104746,0.00002082746,0.0002242894,0.00001874027,0.0004568451],"genre_scores_gemma":[0.9970027,0.0001686407,0.001194551,0.00003340515,0.000007343807,0.00002167041,0.0006706049,0.000008791281,0.0008922978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001522928,"threshold_uncertainty_score":0.003028095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006518176996277579,"score_gpt":0.2157431233481534,"score_spread":0.2092249463518758,"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."}}