{"id":"W4286698412","doi":"10.3389/fmicb.2022.957158","title":"Biomarker enrichment medium: A defined medium for metabolomic analysis of microbial pathogens","year":2022,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Genome Alberta; Canadian Institutes of Health Research; Alberta Innovates; Canada Foundation for Innovation; Genome Canada","keywords":"Metabolomics; Phenotype; Biology; Computational biology; Biomarker discovery; Biomarker; Metabolic pathway; Metabolome; Biotechnology; Bioinformatics; Biochemistry; Proteomics; Metabolism","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":[0.0009853739,0.00104974,0.0005845883,0.001260385,0.0005833087,0.0008420111,0.001181858,0.0008709731,0.000907187],"category_scores_gemma":[0.0008866139,0.0002669613,0.0004682321,0.0008435127,0.0004824453,0.0006124086,0.0009750192,0.001112542,0.0009391726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762371,"about_ca_system_score_gemma":0.001260399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008908131,"about_ca_topic_score_gemma":0.001935616,"domain_scores_codex":[0.9984108,0.0003799815,0.0001869027,0.000237807,0.0006804671,0.0001040954],"domain_scores_gemma":[0.9992728,0.0001680287,0.0001853954,0.00009290079,0.0001710538,0.0001099479],"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":[0.0001297341,0.00008770589,0.000581176,0.0001944306,0.00001191457,0.00009252393,0.00003321624,0.0002138213,0.9924837,0.0003883974,0.0005220343,0.005261297],"study_design_scores_gemma":[0.00002319533,0.0002460373,0.001451919,0.00005434338,0.00003339975,0.0002870329,0.00003343811,0.001511578,0.9838627,0.0001701691,0.01228729,0.00003886954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4249709,0.007854833,0.5308834,0.001883961,0.0009172373,0.003994985,0.01449493,0.004415846,0.01058396],"genre_scores_gemma":[0.3964956,0.004461376,0.5720158,0.0008518559,0.0001681,0.004075139,0.01429961,0.0004352475,0.007197426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001260385,"threshold_uncertainty_score":0.005211174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008877936757651786,"score_gpt":0.235630222528553,"score_spread":0.2267522857709013,"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."}}