{"id":"W4411249488","doi":"10.3390/ijms26125627","title":"Metabolomic Profiling Identifies Key Metabolites and Defense Pathways in Rlm1-Mediated Blackleg Resistance in Canola","year":2025,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Canola Council of Canada","keywords":"Blackleg; Metabolomics; Biology; Canola; Computational biology; Brassica; Bioinformatics; Botany","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":[0.0001716797,0.0007441928,0.000383599,0.0007434039,0.0002109309,0.0004893354,0.0002748658,0.000423733,0.001033301],"category_scores_gemma":[0.0001242828,0.0002057618,0.0003970136,0.0004177845,0.0001765484,0.0002818561,0.0002999187,0.0006320261,0.0003984154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003543679,"about_ca_system_score_gemma":0.0001941363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001976862,"about_ca_topic_score_gemma":0.002831998,"domain_scores_codex":[0.9998839,0.000009482054,0.000006593652,0.00003608796,0.00002963884,0.00003426075],"domain_scores_gemma":[0.9998648,0.00002100502,0.00003446074,0.00001192882,0.00002640584,0.00004130425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009049197,0.00001302542,0.0001896655,0.00001511369,0.000005014975,0.0000238301,0.000009885836,0.00001970241,0.9991792,0.00001142247,0.00001313893,0.0004294988],"study_design_scores_gemma":[0.00002013661,0.0003080977,0.05746309,0.000013481,0.0000765029,0.0001907916,0.0001397642,0.001802753,0.9374371,0.00009360816,0.002430735,0.00002394264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936179,0.001216969,0.001839513,0.0001273083,0.00001653851,0.00004979717,0.002133903,0.0001688549,0.0008291269],"genre_scores_gemma":[0.9852163,0.0008811427,0.002945468,0.0002446786,0.00001173473,0.00009064782,0.005708155,0.00009179563,0.004810172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001976862,"threshold_uncertainty_score":0.003930688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00989309848996984,"score_gpt":0.2658867074113331,"score_spread":0.2559936089213633,"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."}}