{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009060646,0.0001532688,0.000321028,0.00008760013,0.0000585263,0.00001304121,0.0005943064,0.00008130092,0.0001297914],"category_scores_gemma":[0.0001311583,0.00005833142,0.00007873851,0.00045731,0.0000592992,0.00006239866,0.0001030742,0.0003636683,0.0002092699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001751065,"about_ca_system_score_gemma":0.000006910613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001081804,"about_ca_topic_score_gemma":0.0002557015,"domain_scores_codex":[0.9984546,0.0003882364,0.0005239007,0.0002157483,0.0001181988,0.0002993691],"domain_scores_gemma":[0.9993818,0.00005992319,0.0002788487,0.0000773343,0.0000869586,0.00011511],"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":[0.0006286696,0.0003423595,0.01126429,0.000008081868,0.00004377354,0.008130886,0.001338991,0.000006507949,0.9282879,0.004799393,0.01531226,0.02983694],"study_design_scores_gemma":[0.0007108222,0.001817084,0.4781666,0.0001382608,0.00003922757,0.001099547,0.0007155852,8.838635e-7,0.0117849,0.001452618,0.5035588,0.0005156529],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960553,0.0007096358,0.00003434601,0.0006427601,0.0003298731,0.00009714089,0.00005363079,0.00002341322,0.03755618],"genre_scores_gemma":[0.9938965,0.0003131173,0.004347927,0.000720089,0.000275409,0.000001340933,0.00001362363,0.000002567787,0.0004294173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.916503,"threshold_uncertainty_score":0.2689811,"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."}}