{"id":"W4306986298","doi":"10.1186/s12302-022-00680-6","title":"The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry","year":2022,"lang":"en","type":"article","venue":"Environmental Sciences Europe","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"FP7 Food, Agriculture and Fisheries, Biotechnology; European Social Fund; U.S. National Library of Medicine; National Institute of General Medical Sciences; National Cancer Institute; Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz; H2020 Marie Skłodowska-Curie Actions; Agencia Estatal de Investigación; Horizon 2020; Bundesamt für Umwelt; National Health and Medical Research Council; Australian Research Council; Horizon 2020 Framework Programme; Sveriges Lantbruksuniversitet; National Institutes of Health; U.S. Environmental Protection Agency; Vlaamse regering; China Postdoctoral Science Foundation; University of Queensland; Environmental Protection Administration, Executive Yuan, R.O.C. Taiwan; Generalitat Valenciana; Danmarks Tekniske Universitet; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canadian Institutes of Health Research; Fonds Wetenschappelijk Onderzoek; European Regional Development Fund; Bundesministerium für Bildung und Forschung; National Natural Science Foundation of China; RECETOX Přírodovědecké Fakulty Masarykovy Univerzity; National Science Foundation; Deutsche Forschungsgemeinschaft; World Health Organization; European Commission; Genome Canada; Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit; Instituto de Salud Carlos III; MAVA Foundation; Vanderbilt University; Fonds National de la Recherche Luxembourg","keywords":"Suspect; Computer science; Resource (disambiguation); Identifier; Library science; World Wide Web; Political science; Law","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002806058,0.0002255201,0.0001447021,0.0001435885,0.00252668,0.0002401173,0.0007092765,0.00001992331,0.002331324],"category_scores_gemma":[0.00006632946,0.000185311,0.00003575414,0.001419301,0.001027266,0.0004924156,0.0008334088,0.0004621294,0.0002713656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005527583,"about_ca_system_score_gemma":0.00001221775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004639375,"about_ca_topic_score_gemma":0.001085628,"domain_scores_codex":[0.9959248,0.001063889,0.0003342349,0.0006921656,0.001271081,0.000713793],"domain_scores_gemma":[0.9991675,0.000256591,0.000134663,0.0002930995,0.000002164017,0.0001459608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000390384,0.0003241426,0.7576448,0.00001296086,0.00001996393,0.0002916841,0.005672289,0.03154461,0.0876113,0.000984853,0.004456094,0.1110469],"study_design_scores_gemma":[0.0008333219,0.001107848,0.8276172,0.00001739257,0.000007013605,0.00002628218,0.005791265,0.008849454,0.001229559,0.0001525984,0.1538113,0.000556724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383231,0.001473648,0.00007209791,0.0005387563,0.0001857807,0.0003590169,0.00005131302,0.00003576697,0.05896056],"genre_scores_gemma":[0.995871,0.0003940238,0.0006932998,0.000275533,0.00006553667,0.00003003322,0.00001886955,0.00002227973,0.002629422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1493552,"threshold_uncertainty_score":0.9987719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441481369176416,"score_gpt":0.2427114438769142,"score_spread":0.22829663018515,"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."}}