{"id":"W4394157415","doi":"10.6084/m9.figshare.12687148","title":"Additional file 6 of Identification of resistance loci in Chinese and Canadian canola/rapeseed varieties against Leptosphaeria maculans based on genome-wide association studies","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Agriculture and Agri-Food Canada","funders":"","keywords":"Canola; Leptosphaeria maculans; Rapeseed; Biology; Identification (biology); Brassica; Resistance (ecology); Genetics; Biotechnology; Horticulture; Botany; Agronomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00123754,0.001210676,0.001743878,0.002712646,0.001057526,0.001853443,0.002625628,0.001802096,0.5063815],"category_scores_gemma":[0.01112035,0.0006310419,0.001222647,0.005956078,0.0003775042,0.001203132,0.001276194,0.001179908,0.06867862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154899,"about_ca_system_score_gemma":0.003277302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05435044,"about_ca_topic_score_gemma":0.09508993,"domain_scores_codex":[0.9993437,0.00008870375,0.00009987909,0.0002276373,0.0001070399,0.000133039],"domain_scores_gemma":[0.9924369,0.004563973,0.0005326158,0.0006521057,0.001361232,0.0004531588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002480802,0.00005295712,0.004518109,0.00388461,0.0001339426,0.00006683263,0.00006992087,0.0004673405,0.0001797736,0.0006623117,0.9865786,0.003137468],"study_design_scores_gemma":[0.00472504,0.0001191186,0.0532024,0.002840977,0.0005253483,0.0002694633,0.0003824272,0.001120625,0.000604336,0.005276235,0.9308035,0.0001303919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004775533,0.00001013457,0.00001709492,0.0000162708,0.000002913719,0.000006419704,0.9997541,0.00002691751,0.0001184378],"genre_scores_gemma":[0.001456672,0.00005399431,0.0003670293,0.0001000825,0.000008210907,0.000196694,0.9966617,0.00007639548,0.001079348],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9456496,"threshold_uncertainty_score":0.7040869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605385366082726,"score_gpt":0.2131079270796412,"score_spread":0.1970540734188139,"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."}}