{"id":"W2841277228","doi":"10.1139/bcb-2018-0058","title":"Functional genetic discovery of enzymes using full-scan mass spectrometry metabolomics","year":2018,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Metabolomics; Computational biology; Saccharomyces cerevisiae; Metabolic pathway; Biology; Gene; Enzyme; Yeast; Genetic screen; Function (biology); Candidate gene; Mass spectrometry; Biochemistry; Mutant; Genetics; Bioinformatics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00116968,0.0006233735,0.0005260856,0.001086445,0.0002447309,0.0008098704,0.0006129401,0.0004728258,0.0009555762],"category_scores_gemma":[0.001176256,0.0002819626,0.0005826476,0.0009251447,0.0005624394,0.0007240101,0.0006483844,0.0006353163,0.000404919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005013879,"about_ca_system_score_gemma":0.0005076515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008194931,"about_ca_topic_score_gemma":0.001707899,"domain_scores_codex":[0.9996598,0.00007744701,0.00003125527,0.00006033541,0.0001411711,0.00002996397],"domain_scores_gemma":[0.9992936,0.0002854837,0.0001197095,0.0001109169,0.000127597,0.00006268243],"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":[0.0001175693,0.00001947562,0.001219414,0.00008672055,0.00002552423,0.00009225079,0.00001417502,0.0006376865,0.9889642,0.0005450462,0.00008855417,0.008189352],"study_design_scores_gemma":[0.00003159761,0.0002612627,0.01221754,0.00002225505,0.00007589522,0.0008507606,0.00007362733,0.01011056,0.968526,0.002021771,0.005767728,0.00004103845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8044583,0.005125502,0.1795936,0.001736602,0.00007055514,0.000244334,0.004547057,0.001183418,0.00304056],"genre_scores_gemma":[0.7199836,0.006584924,0.2665947,0.0003518618,0.00003281845,0.0001550263,0.004271507,0.0002046185,0.001820919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00116968,"threshold_uncertainty_score":0.006185949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170245029851063,"score_gpt":0.2462830940058439,"score_spread":0.2345806437073333,"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."}}