{"id":"W3216183423","doi":"10.21203/rs.3.rs-1019583/v1","title":"UPLC-QTOF-MS-Based Untargeted Study of Metabolites Secreted by Sclerotinia Sclerotiorum Pathogen Under Axenic Condition","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plant Biotechnology Institute","funders":"Indian Council of Agricultural Research","keywords":"Sclerotinia sclerotiorum; Axenic; Pathogen; Fungal pathogen; Chemistry; High-performance liquid chromatography; Microbiology; Biology; Chromatography; Botany; Bacteria","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002964708,0.0005912526,0.0003917862,0.0005005553,0.0002706876,0.0003452014,0.0002386702,0.0005750788,0.0009383257],"category_scores_gemma":[0.0002517677,0.000147942,0.0003273804,0.0003370278,0.0002662455,0.000352939,0.0003455708,0.000510446,0.000357754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182987,"about_ca_system_score_gemma":0.0002453246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005212476,"about_ca_topic_score_gemma":0.000858321,"domain_scores_codex":[0.999736,0.00003008082,0.00001213132,0.00007502564,0.0001138121,0.00003295421],"domain_scores_gemma":[0.9998024,0.00004191992,0.00005582177,0.00001544003,0.00005707805,0.0000273909],"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":[0.00004570804,0.00001282118,0.0001159488,0.00002661828,0.00000393711,0.0000299556,0.000006005152,0.00001738154,0.9989032,0.000008579428,0.00001912394,0.0008107045],"study_design_scores_gemma":[0.00001666496,0.0006464741,0.01708854,0.00001109944,0.00003192901,0.0005180334,0.00005421599,0.002146401,0.9776449,0.00006066822,0.001755459,0.00002550862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728242,0.002691973,0.01923849,0.000158921,0.00008762554,0.0001638619,0.00292805,0.0003555159,0.001551252],"genre_scores_gemma":[0.9604817,0.00148289,0.03028084,0.0003793066,0.00003637711,0.0002247934,0.002934675,0.00008548094,0.004093867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009383257,"threshold_uncertainty_score":0.003139019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05875532152854581,"score_gpt":0.3167818587140627,"score_spread":0.2580265371855169,"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."}}