{"id":"W1968436610","doi":"10.1007/s10886-011-9989-1","title":"Mass Spectrometry Based Metabolomics to Identify Potential Biomarkers for Resistance in Barley against Fusarium Head Blight (Fusarium graminearum)","year":2011,"lang":"en","type":"article","venue":"Journal of Chemical Ecology","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"Grain Research Centre; Agriculture and Agri-Food Canada; McGill University","funders":"Ministère de l'Agriculture et de l'Alimentation; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Biology; Fusarium; Metabolomics; Mycotoxin; Genotype; Plant disease resistance; Botany; Genetics; Gene; Bioinformatics","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":[0.0006335201,0.0002200439,0.0005529345,0.0001004093,0.00005779552,0.00004053699,0.000592838,0.0003398255,0.0001297167],"category_scores_gemma":[0.000317446,0.00009514231,0.0003295291,0.0006321181,0.00007792528,0.0001332119,0.00006106983,0.000338091,0.00001572139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139685,"about_ca_system_score_gemma":0.00003362273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006009059,"about_ca_topic_score_gemma":0.0001045604,"domain_scores_codex":[0.9980615,0.00009368149,0.0007610302,0.0003161516,0.0002444502,0.000523121],"domain_scores_gemma":[0.9988053,0.0002563521,0.0003693812,0.00008025948,0.0002344968,0.0002541817],"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":[0.0008347019,0.000300637,0.001809867,0.00001277637,0.00006401185,0.00005162884,0.00002540612,0.000002466423,0.9929774,0.0001385731,0.003467455,0.0003150593],"study_design_scores_gemma":[0.001282454,0.0008398814,0.05924029,0.00001902116,0.00008240563,0.00003500554,0.00008380897,0.00003437955,0.9184649,0.002700935,0.01684394,0.0003729937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929118,0.0002081655,0.0003590107,0.003057789,0.000751829,0.0003495371,0.0001071157,0.00001804498,0.002236726],"genre_scores_gemma":[0.9788045,0.00003001873,0.01916912,0.00119556,0.0005457702,0.00001840454,0.00008082238,0.00000313401,0.0001526448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07451254,"threshold_uncertainty_score":0.3879791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193243657287439,"score_gpt":0.2451287940064846,"score_spread":0.2258044282777407,"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."}}