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Record W4312412694 · doi:10.1039/d2ce90147a

Correction: New insights into the role of solution additive anions in Mg<sup>2+</sup> dehydration: implications for mineral carbonation

2022· article· en· W4312412694 on OpenAlexaff
Dimitrios Toroz, Fu Song, Gregory A. Chass, Devis Di Tommaso

Bibliographic record

VenueCrystEngComm · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicMine drainage and remediation techniques
Canadian institutionsMcMaster University
FundersAgencia Estatal de InvestigaciónNatural Environment Research CouncilHorizon 2020Engineering and Physical Sciences Research CouncilDepartment for Business, Energy and Industrial Strategy, UK GovernmentAgence de l'Environnement et de la Maîtrise de l'EnergieMinisterio de Asuntos Económicos y Transformación Digital, Gobierno de EspañaRoyal Society of ChemistryRoyal Society
KeywordsCarbonationDehydrationMineralChemistryInorganic chemistryChemical engineeringOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Correction for ‘New insights into the role of solution additive anions in Mg 2+ dehydration: implications for mineral carbonation’ by Dimitrios Toroz et al. , CrystEngComm , 2021, 23 , 4896–4900, https://doi.org/10.1039/D1CE00052G.

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)0.069
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.071
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.069
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.003
Science and technology studies0.0040.004
Scholarly communication0.0050.004
Open science0.0050.004
Research integrity0.0090.015
Insufficient payload (model declined to judge)0.0710.044

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 head0.230
Teacher spread0.221 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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