{"id":"W2906067026","doi":"10.1021/acs.jproteome.8b00720","title":"CEU Mass Mediator 3.0: A Metabolite Annotation Tool","year":2018,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Ministerio de Economía y Competitividad; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions","keywords":"Metadata; Computer science; Annotation; Ontology; Knowledge base; Database; Identification (biology); Information retrieval; Metabolome; Service (business); Metabolomics; World Wide Web; Bioinformatics; Biology; Artificial intelligence","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":[0.002257176,0.003315707,0.001926548,0.003947529,0.0008234372,0.002912158,0.003054317,0.002000314,0.02298938],"category_scores_gemma":[0.003496087,0.001273598,0.002058172,0.002375368,0.0003879124,0.002308145,0.003754067,0.001878333,0.01770338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007509867,"about_ca_system_score_gemma":0.001319001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128216,"about_ca_topic_score_gemma":0.0008332696,"domain_scores_codex":[0.9991217,0.0001195308,0.0001008874,0.0002318384,0.0003100989,0.0001158925],"domain_scores_gemma":[0.9991453,0.0003164493,0.0001214754,0.0001486784,0.0001582401,0.00010981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00471954,0.0005884245,0.005987871,0.007480586,0.001117532,0.004827034,0.001205919,0.003597835,0.1886256,0.01294514,0.4969544,0.2719502],"study_design_scores_gemma":[0.0006146327,0.0002711666,0.00807037,0.0006697118,0.0003130116,0.002903614,0.000271313,0.0264158,0.1641295,0.0109339,0.7849246,0.0004822775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01536437,0.003118875,0.3131264,0.0006831379,0.0004172777,0.0009352217,0.08754365,0.5683646,0.01044643],"genre_scores_gemma":[0.07963294,0.003342343,0.5097858,0.002391813,0.0003155521,0.003947922,0.302262,0.0794358,0.01888591],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.02298938,"threshold_uncertainty_score":0.07690716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04548476138424697,"score_gpt":0.3856850958765461,"score_spread":0.3402003344922992,"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."}}