{"id":"W2979325495","doi":"10.20944/preprints201910.0147.v1","title":"Whole Genome Alignment Based Development of Molecular Marker for Detecting <em>Leptosphaeria maculans</em> and <em>Leptosphaeria biglobosa</em>, the Causal Agent of Blackleg Disease in Brassicas","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Ministry of Agriculture, Food and Rural Affairs","keywords":"Leptosphaeria maculans; Blackleg; Biology; Genome; Genetics; genomic DNA; Amplicon; Computational biology; Polymerase chain reaction; Gene; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005819854,0.0006569974,0.0006297252,0.0009896057,0.0003194249,0.0006367732,0.0004686831,0.0006145788,0.001940046],"category_scores_gemma":[0.0007959366,0.0003448484,0.0006961318,0.0008359991,0.0002355152,0.0003994672,0.0003337522,0.0008945189,0.001535578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002850615,"about_ca_system_score_gemma":0.0005197317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006880551,"about_ca_topic_score_gemma":0.001764077,"domain_scores_codex":[0.9995369,0.00007919302,0.00004462912,0.0001769056,0.0001220078,0.00004035748],"domain_scores_gemma":[0.9996082,0.00008281827,0.0001534362,0.00003905683,0.00008143055,0.0000350178],"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":[0.0002143219,0.00007497457,0.001579088,0.0003170994,0.00003303797,0.0001086254,0.00009502281,0.0003791639,0.9841155,0.0001470936,0.0005808673,0.01235529],"study_design_scores_gemma":[0.0001202091,0.00100822,0.06072746,0.0002321152,0.0003163969,0.001543955,0.0003214791,0.01472494,0.8761069,0.0004731024,0.04433561,0.00008968146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7923896,0.004158903,0.16342,0.0007379627,0.000226946,0.0006902043,0.02751466,0.004504169,0.006357436],"genre_scores_gemma":[0.5091507,0.00166792,0.4225068,0.0003511144,0.00004174943,0.0007092513,0.06030825,0.0007436308,0.004520624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001940046,"threshold_uncertainty_score":0.006490111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916702688849136,"score_gpt":0.2722582391896656,"score_spread":0.2430912123011742,"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."}}