{"id":"W4394331596","doi":"10.6084/m9.figshare.12687145","title":"Additional file 5 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":"Leptosphaeria maculans; Canola; Rapeseed; Biology; Identification (biology); Brassica; Resistance (ecology); Genetics; Biotechnology; Horticulture; Agronomy; Botany","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":[0.001220385,0.001197459,0.00172383,0.002741394,0.001073795,0.001819519,0.002555335,0.001786647,0.5091538],"category_scores_gemma":[0.01085425,0.0006248793,0.001190302,0.005902356,0.0003761712,0.001201794,0.001285118,0.001148968,0.06693707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532326,"about_ca_system_score_gemma":0.003119952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05086949,"about_ca_topic_score_gemma":0.08901193,"domain_scores_codex":[0.9993617,0.00008770302,0.00009678369,0.0002225801,0.0001025591,0.0001287687],"domain_scores_gemma":[0.9927354,0.00448086,0.0005037471,0.000595256,0.001259534,0.0004252331],"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":[0.0002583045,0.00005579188,0.004506669,0.004137584,0.0001344468,0.0000712762,0.00007281555,0.0004849317,0.000193332,0.0007091252,0.9861318,0.003243966],"study_design_scores_gemma":[0.004645892,0.0001233905,0.05099977,0.002922517,0.0005218336,0.0002821822,0.0003810736,0.001111745,0.0006253556,0.005404654,0.932853,0.0001285866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004940318,0.00001053772,0.00001788732,0.00001619161,0.000002929788,0.000006736376,0.9997494,0.00002738534,0.0001194695],"genre_scores_gemma":[0.001451542,0.00005188784,0.0003626657,0.000101243,0.000007893874,0.000195388,0.9966977,0.0000732882,0.001058551],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9491305,"threshold_uncertainty_score":0.7001325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605857786119999,"score_gpt":0.2131484833947516,"score_spread":0.1970899055335516,"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."}}