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Record W3173218321 · doi:10.1088/0026-1394/58/1a/08015

Mass fraction assignment of Bisphenol-A high purity material

2021· article· en· W3173218321 on OpenAlexaff
Steven Westwood, Gustavo Gabriel Martos, R D Josephs, Tiphaine Choteau, Robert Wielgosz, Stephen Davies, Michael Moawad, Greg J. Tarrant, Benjamin Chan, Mahiuddin Alamgir, Eliane de Rego, Wagner Wollinger, Bruno Carius Garrido, Jane Luiza Nogueira Fernandes, Rodrigo Caciano de Sena, Jeremy E. Melanson, Jennifer Bates, Phuong Mai Le, Juris Meija, Can Quan, Ting Huang, Wei Zhang, Ruian Ma, Shaofeng Zhang, Hao Yuan, Yaiuan He, Shan-Jun Song, Haifeng Wang, Fuhai Su, Tianji Zhang, Hongmei Li, Wai-hing Lam, Wai-fun Wong, Wai-hong Fung, Rosemarie Philipp, Ute Dorgerloh, Klas Meyer, Christian Piechotta, Juliane Riedel, Tanja Westphalen, Panagiota Giannikopoulou, Ch Alexopoulos, E Kakoulides, Yuko Kitamaki, Taichi Yamazaki, Yoshitaka Shimizu, Miho Kuroe, Masahiko Numata, Alejanro Pérez-Castorena, Miryan Balderas-Escamilla, Judith Garcia-Escalante, A. I. Krylov, Alena Mikheeva, Mikhail Beliakov, Марина Всеволодовна Палагина, I. Yu. Tkachenko, С. В. Спирин, Vadim Smirnov, Teo Tang Lin, Cheow Pui Sze, Juan Wang, Wong Lingkai, Ting Lu, Qinde Liu, Sim Lay Peng, Maria Fernandes-Whaley, Des Prevoo-Franzsen, Laura Quinn, Nontete Nhlapo, Dennis S. Mkhize, Dominique Marajh, Sabelo Chamane, Seonghee Ahn, Kiwhan Choi, Sunyoung Lee, Jeesoo Han, Song‐Yee Baek, Byungjoo Kim, Sornkrit Marbumrung, Pornnipa Jongmesuk, Kittiya Shearman, Cheerapa Boonyakong, Mine Bílsel, Simay Gündüz, İlker Ün, Hasibe Yılmaz, Gökhan Bilsel, Taner Gökçen, Cailean Clarkson, John T. Warren, Eli Achtar

Bibliographic record

VenueMetrologia · 2021
Typearticle
Languageen
FieldChemistry
TopicAnalytical Chemistry and Chromatography
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMass fractionFraction (chemistry)Analytical Chemistry (journal)ChemistryMaterials scienceMathematicsProcess engineeringChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

Main text The CCQM-K148.a comparison was coordinated by the BIPM on behalf of the CCQM Organic Analysis Working Group for NMIs and DIs which provide measurement services in organic analysis under the CIPM MRA. It was undertaken as a "Track A" comparison within the OAWG strategic plan. CCQM-K148.a demonstrates capabilities for assigning the mass fraction content of a solid organic compound having moderate molecular complexity, where the compound has a molar mass in the range (75 - 500) g/mol and is non-polar (pK ow < −2), when present as the primary organic component in a neat organic solid and where the mass fraction content of the primary component in the material is in excess of 950 mg/g. Participants were required to report the mass fraction of Bisphenol A present in one supplied unit of the comparison material. Participants using a mass balance method for the assignment were also required to report their assignments of the impurity components present in the material. Methods used by the seventeen participating NMIs or DIs were predominantly based on either stand-alone mass balance (summation of impurities) or qNMR approaches, or the combination of data obtained using both methods. The results obtained using thermal methods based on freezing-point depression methods were also reported by a limited number of participants. There was excellent agreement between assignments obtained using all three approaches to assign the BPA content. The assignment of the values for the mass fraction content of BPA consistent with the KCRV was achieved by most of the comparison participants with an associated relative standard uncertainty in the assigned value in the range (0.1 - 0.5)%. To reach the main text of this paper, click on Final Report . Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/ . The final report has been peer-reviewed and approved for publication by the CCQM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.011

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.

Opus teacher head0.009
GPT teacher head0.218
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2021
Admission routes1
Has abstractyes

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