{"id":"W1864672531","doi":"10.1111/j.1364-3703.2010.00643.x","title":"Mass spectrometry‐based metabolomics application to identify quantitative resistance‐related metabolites in barley against <i>Fusarium</i> head blight","year":2010,"lang":"en","type":"article","venue":"Molecular Plant Pathology","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute; Grain Research Centre; Agriculture and Agri-Food Canada; McGill University; Ste. Anne's Hospital","funders":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Biology; Metabolomics; Fusarium; Gibberella zeae; Mycotoxin; Inoculation; Quantitative trait locus; Phenylpropanoid; Metabolome; Botany; Horticulture; Biochemistry; Gene","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":[0.0005703353,0.0002893737,0.000454438,0.0001136175,0.0001102654,0.00006480495,0.0004815154,0.0003525674,0.00006706129],"category_scores_gemma":[0.0001709683,0.0001345573,0.0001416895,0.001227328,0.00007522291,0.0001045983,0.00006554777,0.0005126952,0.0002156729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002643873,"about_ca_system_score_gemma":0.00001505062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001659257,"about_ca_topic_score_gemma":0.001707752,"domain_scores_codex":[0.9978029,0.0002607396,0.0004733688,0.0006954958,0.0002569333,0.0005105574],"domain_scores_gemma":[0.9991919,0.0002014088,0.0001646085,0.0001937642,0.00009230755,0.0001560291],"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":[0.00006695047,0.0001208354,0.0006471302,0.000005247222,0.00001861588,0.0001810199,0.00005556305,0.00002613018,0.9807659,0.01749042,0.0002314922,0.000390718],"study_design_scores_gemma":[0.0004497403,0.0001821025,0.03720454,0.00001320303,0.00004399565,0.00003560221,0.00007578921,0.0001157365,0.9336746,0.002934698,0.02476872,0.0005012396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892922,0.0005157352,0.002165023,0.001843926,0.00028943,0.0006158707,0.000499067,0.00009543435,0.004683298],"genre_scores_gemma":[0.9858879,0.00004730554,0.01063111,0.001491917,0.00006619686,0.0001355718,0.00157119,0.0000041171,0.0001647222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04709124,"threshold_uncertainty_score":0.5487087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009296539619511346,"score_gpt":0.2463281644632669,"score_spread":0.2370316248437556,"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."}}