Key Principles for the Intergovernmental Science–Policy Panel on Chemicals and Waste
Bibliographic record
Abstract
ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTKey Principles for the Intergovernmental Science–Policy Panel on Chemicals and WasteMarlene ÅgerstrandMarlene ÅgerstrandDepartment of Environmental Science, Stockholm University, 10691 Stockholm, SwedenMore by Marlene Ågerstrand, Kenneth ArinaitweKenneth ArinaitweGEOMAR Helmholtz Centre for Ocean Research Kiel, 24148 Kiel, GermanyMore by Kenneth Arinaitwehttps://orcid.org/0000-0002-5485-2634, Thomas BackhausThomas BackhausDepartment of Biological and Environmental Sciences, University of Gothenburg, 40530 Gothenburg, SwedenMore by Thomas Backhaushttps://orcid.org/0000-0001-9643-1662, Ricardo O. BarraRicardo O. BarraFaculty of Environmental Sciences and EULA Chile Centre, University of Concepcion, Concepción 4070386, ChileMore by Ricardo O. Barra, Miriam L. DiamondMiriam L. DiamondUniversity of Toronto, Toronto, ON M5S 1A1, CanadaMore by Miriam L. Diamondhttps://orcid.org/0000-0001-6296-6431, Joan O. GrimaltJoan O. GrimaltDepartment of Environmental Chemistry, IDAEA-CSIC, 08034 Barcelona, Catalonia, SpainMore by Joan O. Grimalthttps://orcid.org/0000-0002-7391-5768, Ksenia GrohKsenia GrohEawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, SwitzerlandMore by Ksenia Grohhttps://orcid.org/0000-0002-3778-4721, Faith KandieFaith KandieDepartment of Biological Sciences, Moi University, 30100 Eldoret, KenyaMore by Faith Kandie, Perihan Binnur Kurt-KarakusPerihan Binnur Kurt-KarakusDepartment of Environmental Engineering, Faculty of Engineering and Natural Sciences, Bursa Technical University, 16310 Yıldırım/Bursa, TurkeyMore by Perihan Binnur Kurt-Karakushttps://orcid.org/0000-0001-6737-3475, Robert J. LetcherRobert J. LetcherDepartments of Chemistry and Biology, Environment and Climate Change Canada, National Wildlife Research Centre, Carleton University, Ottawa, ON KIS 5B6, CanadaMore by Robert J. Letcherhttps://orcid.org/0000-0002-8232-8565, Rainer LohmannRainer LohmannGraduate School of Oceanography, University of Rhode Island, Narragansett, Rhode Island 02881, United StatesMore by Rainer Lohmannhttps://orcid.org/0000-0001-8796-3229, Rodrigo O. MeireRodrigo O. MeireUniversidade Federal do Rio de Janeiro, Campus Duque de Caxias, Santa Cruz da Serra, Rio de Janeiro 25240-005, BrazilMore by Rodrigo O. Meire, Temilola OluseyiTemilola OluseyiDepartment of Chemistry, University of Lagos, Akoka, Lagos 101017, NigeriaMore by Temilola Oluseyi, Andreas SchäfferAndreas SchäfferInstitute for Environmental Research, RWTH Aachen University, 52074 Aachen, GermanyMore by Andreas Schäffer, Mochamad SeptionoMochamad SeptionoNexus3 Foundation, Denpasar 80223, Bali, IndonesiaMore by Mochamad Septiono, Gabriel SigmundGabriel SigmundDepartment of Environmental Geosciences, Centre for Microbiology and Environmental Systems Science, University of Vienna, 1090 Vienna, AustriaMore by Gabriel Sigmundhttps://orcid.org/0000-0003-2068-0878, Anna SoehlAnna SoehlInternational Panel on Chemical Pollution, 8044 Zürich, SwitzerlandMore by Anna Soehl, Temitope O. SogbanmuTemitope O. SogbanmuEcotoxicology and Conservation Unit, Department of Zoology, Faculty of Science, University of Lagos, Akoka, Lagos 101017, NigeriaMore by Temitope O. Sogbanmu, Noriyuki SuzukiNoriyuki SuzukiNational Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Ibaraki, JapanMore by Noriyuki Suzukihttps://orcid.org/0000-0002-9366-3342, Marta VenierMarta VenierO'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, Indiana 47405, United StatesMore by Marta Venierhttps://orcid.org/0000-0002-2089-8992, Penny VlahosPenny VlahosMarine Sciences, University of Connecticut, Groton, Connecticut 06340, United StatesMore by Penny Vlahoshttps://orcid.org/0000-0002-0034-6007, and Martin Scheringer*Martin ScheringerInstitute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, SwitzerlandRECETOX, Masaryk University, 625 00 Brno, Czech Republic*[email protected]More by Martin ScheringerView Biographyhttps://orcid.org/0000-0002-0809-7826Cite this: Environ. Sci. Technol. 2023, 57, 6, 2205–2208Publication Date (Web):January 30, 2023Publication History Received6 November 2022Published online30 January 2023Published inissue 14 February 2023https://doi.org/10.1021/acs.est.2c08283Copyright © 2023 The Authors. Published by American Chemical SocietyRIGHTS & PERMISSIONSACS AuthorChoiceCC: Creative CommonsBY: Credit must be given to the creatorArticle Views1755Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (2 MB) Get e-AlertsSUBJECTS:Climate change,Environmental pollution,Impurities,Testing and assessment,Wastes Get e-Alerts
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".