A NEW STANDARD OF ABBREVIATIONS FOR BROMINATED, CHLORINATED AND PHOSPHORUS CONTAINING FLAME RETARDANTS
Bibliographic record
Abstract
1 Environmental Chemistry Unit, Department of Materials and Environmental Chemistry, Stockholm University, SE-106 91 Stockholm, Sweden; 2 The Centre for Environment, Fisheries and Aquaculture Science, Cefas Lowestoft Laboratory, Pakefield Road, Lowestoft, Suffolk NR33 0HT, UK; 3 VU University, Institute for Environmental Studies, De Boelelaan 1087, 1081HV, Amsterdam, The Netherlands; 4 Toxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium; 5 National Water Research Institute, 867 Lakeshore Road, Burlington, Ontario L7R 4A6, Canada; 6 National Cancer Institute and National Institute of Environmental Health Sciences, 111 T.W. Alexander Drive, MD: B2-01, Research Triangle Park, North Carolina 27709, USA; 7 Environmental Chemistry Laboratory, California Department of Toxic Substances Control, 700 Heinz Street, Berkeley, CA 94710, USA; 8 The Food and Environment Research Agency, Sand Hutton, York YO41 1LZ, UK; 9 Environment Preservation Research Center, Kyoto University, Kyoto, Japan.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.021 | 0.022 |
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 source (direct Gemma or distilled Codex), 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".