{"id":"W2554354547","doi":"10.1038/nbt.3689","title":"SPLASH, a hashed identifier for mass spectra","year":2016,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Bioscience Database Center; Institute of Genetics; Leibniz-Institut für Pflanzenbiochemie; Skaggs School of Pharmacy and Pharmaceutical Sciences; Information Technology Laboratory; University of Alberta; European Commission; Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz; RIKEN; Leibniz-Gemeinschaft; University of California, San Diego; National Institutes of Health; National Institute of General Medical Sciences; King Abdulaziz University; National Institute of Diabetes and Digestive and Kidney Diseases; Wellcome Trust; Biotechnology and Biological Sciences Research Council; Universiteit Maastricht; European Molecular Biology Laboratory; U.S. Department of Commerce; National Institute of Standards and Technology; European Bioinformatics Institute; Medical Research Council; Helmholtz-Zentrum für Umweltforschung; National Science Foundation","keywords":"Splash; Identifier; Computer science; Computer graphics (images); Engineering; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001657003,0.0001930743,0.0002295135,0.0001463172,0.00008849132,0.00001288289,0.0003297122,0.001228405,0.00004009174],"category_scores_gemma":[0.0004566389,0.0001309856,0.0001415711,0.0001450773,0.0001729372,0.000002965589,0.0001257276,0.0002036018,0.00002358735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002159279,"about_ca_system_score_gemma":0.00003272801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001181937,"about_ca_topic_score_gemma":0.00002371713,"domain_scores_codex":[0.9987639,0.0000155425,0.000181794,0.0005567467,0.00008640849,0.000395588],"domain_scores_gemma":[0.999243,0.00002636591,0.00008617829,0.0005191006,0.0000809431,0.00004446604],"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":[0.0000837938,0.00002204004,0.0002004277,0.000008014616,0.0001085811,0.000002150718,0.00000162263,5.973448e-8,0.9526669,0.02869257,0.01423541,0.003978396],"study_design_scores_gemma":[0.0005952175,0.0001746901,0.0002599077,0.000004504154,0.00001690298,0.000009780721,0.000008377988,0.000001076107,0.6192683,0.004100291,0.3754219,0.0001389957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7640894,0.01415249,0.1746656,0.03841148,0.003414008,0.001265458,0.0003667346,0.0002866703,0.003348194],"genre_scores_gemma":[0.9770896,0.001639981,0.01570079,0.0004588369,0.0004777716,0.00007374685,0.00003056786,0.00003643357,0.004492298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3611865,"threshold_uncertainty_score":0.9474587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005100525576545958,"score_gpt":0.2470514980897,"score_spread":0.2419509725131541,"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."}}