{"id":"W4402797307","doi":"10.3390/plants13182582","title":"Genomic Insights into Disease Resistance in Sunflower (Helianthus annuus): Identifying Key Regions and Candidate Genes for Verticillium dahliae Resistance","year":2024,"lang":"en","type":"article","venue":"Plants","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; China Agricultural Research System; China Scholarship Council","keywords":"Helianthus annuus; Verticillium dahliae; Verticillium wilt; Sunflower; Biology; Plant disease resistance; Quantitative trait locus; Agronomy; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000170728,0.0002031056,0.000223452,0.00005104771,0.0003039888,0.0001799047,0.0002033544,0.00008610895,0.00001544458],"category_scores_gemma":[0.00003419507,0.00009262743,0.00006794228,0.0002372818,0.00005817937,0.0001740657,0.00005551401,0.00009999513,0.00001520843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006235063,"about_ca_system_score_gemma":0.00002728053,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001034001,"about_ca_topic_score_gemma":0.05758454,"domain_scores_codex":[0.9985422,0.00004907684,0.0002718609,0.0005696274,0.0001762111,0.0003910435],"domain_scores_gemma":[0.999459,0.0001834873,0.00004936683,0.00009338726,0.00002834912,0.0001863653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008415086,0.00007928235,0.002838966,0.0004734228,0.0000468666,0.000901755,0.001088369,0.000007492494,0.9801109,0.00572922,0.004406109,0.003476124],"study_design_scores_gemma":[0.0009414578,0.0001195655,0.3250155,0.003118389,0.0001317242,0.00001661755,0.000788703,0.001467277,0.01220772,0.04134688,0.6132408,0.001605323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531314,0.04386431,0.00009418977,0.0008593742,0.0004591683,0.0003545033,0.0009905247,0.000080239,0.000166293],"genre_scores_gemma":[0.9918771,0.005146954,0.0003045278,0.000106108,0.0002018706,0.00007205426,0.0002117045,0.000004131257,0.002075485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9679031,"threshold_uncertainty_score":0.9596121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077352548165037,"score_gpt":0.2300637717218214,"score_spread":0.209290246240171,"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."}}