{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.07236125,0.002215073,0.001392198,0.01496753,0.003256946,0.007900326,0.004663872,0.003174479,0.06135318],"category_scores_gemma":[0.06367976,0.001021408,0.001809767,0.009168851,0.002343292,0.01305568,0.02047517,0.002329834,0.05641827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002861025,"about_ca_system_score_gemma":0.01420778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007418314,"about_ca_topic_score_gemma":0.007742045,"domain_scores_codex":[0.96957,0.01381756,0.002721079,0.002905041,0.00954442,0.001441998],"domain_scores_gemma":[0.926176,0.02355001,0.00682716,0.01666494,0.02053066,0.006251407],"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":[0.001072931,0.000345012,0.006347554,0.002200458,0.0001337771,0.0006532797,0.002070474,0.001233519,0.01044695,0.01979026,0.7186568,0.2370489],"study_design_scores_gemma":[0.0001077419,0.0000737278,0.003386668,0.0008970324,0.00004632197,0.0002335921,0.0005263787,0.001573926,0.005637269,0.008916362,0.9785045,0.00009642127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03605535,0.01134432,0.3916727,0.03496393,0.004230877,0.005092235,0.1821077,0.08729722,0.2472357],"genre_scores_gemma":[0.0549003,0.004956321,0.5122409,0.006260894,0.001226388,0.00262832,0.341483,0.01994282,0.0563611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9953361,"threshold_uncertainty_score":0.3826874,"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."}}