{"id":"W2077545398","doi":"10.1007/s11306-012-0462-0","title":"MetaboLights: towards a new COSMOS of metabolomics data management","year":2012,"lang":"en","type":"article","venue":"Metabolomics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; European Commission; European Bioinformatics Institute","keywords":"Metabolomics; Metadata; Workflow; Standardization; Data science; Metabolome; Omics; Data management; Big data; Genomics; Biology; Computer science; Bioinformatics; World Wide Web; Database; Data mining","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":[0.07753635,0.002148892,0.003277762,0.009975627,0.00296938,0.0208321,0.01096856,0.005047751,0.008510795],"category_scores_gemma":[0.05611251,0.003348004,0.003172999,0.01118351,0.007967431,0.05438894,0.02645608,0.01333422,0.00753427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002965061,"about_ca_system_score_gemma":0.01133225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005316112,"about_ca_topic_score_gemma":0.002571349,"domain_scores_codex":[0.9775088,0.007174874,0.003670354,0.003839007,0.006818785,0.0009881096],"domain_scores_gemma":[0.9276916,0.01425409,0.004853559,0.02679705,0.0116492,0.0147545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001267019,0.0005577793,0.01192043,0.001681927,0.000497288,0.00084951,0.003172488,0.005341823,0.01073489,0.3481902,0.2287531,0.3870335],"study_design_scores_gemma":[0.0002446025,0.0002503021,0.002657216,0.001017695,0.000124076,0.0009454626,0.001125574,0.02411891,0.005151848,0.1563784,0.8075835,0.0004024506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.00501621,0.003322289,0.9101015,0.026258,0.001685819,0.000693841,0.003985834,0.04163252,0.007303983],"genre_scores_gemma":[0.01456333,0.002516045,0.9554754,0.004637425,0.001840937,0.000608532,0.01097889,0.005449521,0.003929896],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07753635,"threshold_uncertainty_score":0.4100564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03755016967609196,"score_gpt":0.2886203809938966,"score_spread":0.2510702113178046,"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."}}