{"id":"W2058355186","doi":"10.1007/s10658-010-9729-3","title":"Metabolomics technology to phenotype resistance in barley against Gibberella zeae","year":2011,"lang":"en","type":"article","venue":"European Journal of Plant Pathology","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Clinical Research Institute; McGill University Health Centre; 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; Gibberella zeae; Phenylpropanoid; Metabolomics; Jasmonic acid; Caffeic acid; Fumaric acid; Gibberella; Linoleic acid; Metabolome; Phytotoxin; Fusarium; Methyl jasmonate; Botany; Fatty acid; Biochemistry; Salicylic acid; Biosynthesis","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":[0.0001996408,0.0004964576,0.0002757701,0.0004318548,0.0001917455,0.0003930145,0.0002252681,0.0003824751,0.0008324367],"category_scores_gemma":[0.0001993477,0.0002554335,0.0003508788,0.0003035806,0.0001608764,0.0002488692,0.0002887053,0.0006117824,0.0004060061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005328308,"about_ca_system_score_gemma":0.0002374718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001611109,"about_ca_topic_score_gemma":0.00268578,"domain_scores_codex":[0.9998614,0.00001931733,0.000006150665,0.00004671685,0.00004236724,0.00002410295],"domain_scores_gemma":[0.999897,0.00002485313,0.00002811149,0.0000118489,0.00002177158,0.00001636035],"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":[0.00003992671,0.000006614149,0.0001016619,0.00001156515,0.000003389361,0.00001026602,0.00000428288,0.00003301553,0.9987198,0.00003172407,0.00001930024,0.00101858],"study_design_scores_gemma":[0.00001044314,0.00007660399,0.004772965,0.00000287355,0.0000178065,0.00006572689,0.00001928194,0.0008648899,0.9929627,0.00009107288,0.001109815,0.000005917508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8931679,0.001708145,0.09575792,0.0008652013,0.0001654885,0.0001689931,0.003710795,0.0008515545,0.003604012],"genre_scores_gemma":[0.949633,0.001825236,0.03651876,0.0003347387,0.00002975909,0.000169589,0.002196896,0.0001779428,0.00911402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001611109,"threshold_uncertainty_score":0.003866017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027418332872133,"score_gpt":0.195754006608722,"score_spread":0.1754798232800006,"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."}}