{"id":"W3087642460","doi":"","title":"Analysis of Secondary Metabolites Biosynthesized by Pathogenic and Symbiotic Fungi using High-Resolution Tandem LC-MS and Spectral Molecular Networking","year":2020,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Strong","keywords":"Tandem; Tandem mass spectrometry; High resolution; Computational biology; Biology; Chemistry; Botany; Microbiology; Remote sensing; Mass spectrometry; Chromatography; Materials science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001687094,0.0004478423,0.0001650505,0.001107655,0.0003138764,0.0003030263,0.0001427308,0.0002758634,0.001317524],"category_scores_gemma":[0.0002103341,0.000124979,0.0002996063,0.0007144777,0.0001977221,0.0003528521,0.0002105289,0.0003068609,0.0003783758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177242,"about_ca_system_score_gemma":0.000266005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074126,"about_ca_topic_score_gemma":0.001980047,"domain_scores_codex":[0.9998723,0.00001187513,0.000008085447,0.00004135055,0.00004512019,0.00002109622],"domain_scores_gemma":[0.9998593,0.00002903619,0.00004025628,0.000007210769,0.00003748685,0.00002659565],"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":[0.0001049394,0.00003425281,0.002094794,0.00005381184,0.00001520709,0.0000959114,0.00002757156,0.00005449451,0.9921253,0.00004633432,0.00004292701,0.005304399],"study_design_scores_gemma":[0.0000233499,0.0007214013,0.1032688,0.00002803137,0.00007143365,0.001448435,0.0003030313,0.003542036,0.8860937,0.0001733075,0.004283645,0.00004272863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979398,0.002059494,0.01149162,0.0001059789,0.00004157675,0.000149446,0.002701973,0.0001903908,0.003861621],"genre_scores_gemma":[0.9631222,0.001733675,0.02768443,0.0002237774,0.0000311652,0.0001491878,0.002836049,0.00003419261,0.004185413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001317524,"threshold_uncertainty_score":0.004407585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0504215062707814,"score_gpt":0.2813399371659647,"score_spread":0.2309184308951833,"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."}}