{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000393521,0.0001364772,0.0001703852,0.00002242344,0.00008234277,0.000009777821,0.0001215677,0.000196468,0.0003042635],"category_scores_gemma":[0.00001344641,0.0001311875,0.0000544834,0.00008167794,0.0003612741,0.00002702259,0.00007265774,0.0001074214,0.000001876589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000025634,"about_ca_system_score_gemma":0.000046138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007992861,"about_ca_topic_score_gemma":3.729473e-7,"domain_scores_codex":[0.999261,0.000005894536,0.0002084645,0.0003052331,0.00004012467,0.0001793136],"domain_scores_gemma":[0.9994664,0.0000283937,0.0001452443,0.0002588602,0.00005501996,0.00004607966],"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":[0.00003995618,0.00003004311,0.0009027241,0.00005216755,0.00001727902,2.795705e-7,0.000003716932,0.000001947987,0.9977603,0.0007859485,0.00004554962,0.0003601048],"study_design_scores_gemma":[0.0001645575,0.00003007995,0.00005172322,0.000006069227,0.00002780126,0.0000128766,0.00004240863,0.0001308665,0.9952233,0.002746182,0.001419895,0.0001442051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445027,0.001510993,0.0481439,0.00001781772,0.00003200088,0.00003933141,0.0001097211,0.00003088802,0.005612702],"genre_scores_gemma":[0.9409707,0.0002429601,0.0576904,0.00002111933,0.0003350999,0.00001286925,0.00006133504,0.00001167997,0.0006538613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00954649,"threshold_uncertainty_score":0.534967,"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."}}