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Record W4290836234

Incandescence-based single-particle method for black carbon quantification in lake sediment cores

2018· article· en· W4290836234 on OpenAlex
John McConnell, Boris Vannière

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueKölner Universitäts PublikationsServer (Universität zu Köln) · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsYork University
Fundersnot available
KeywordsIncandescenceCarbon blackParticle (ecology)Environmental scienceSedimentGeologyOceanographyChemistryGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

Refractory black carbon (rBC) is an important contributor to radiative forcing, so quantifying rBC emissions and transport is critical for accurate climate modeling. Formed during incomplete combustion of fossil fuels or biofuels, rBC is emitted to the atmosphere from large wildfires and industrial sources where it can be transported and deposited globally. Ice cores have been used to reconstruct historical changes in biomass burning and industrial emissions but they are available only from glaciers and ice sheets, with reliable records longer than a few centuries generally limited to polar regions. Lake sediment cores provide a possible alternative to develop longer term, widely distributed records from mid- and low-latitude regions, albeit with lower temporal resolution and less directly linked to atmospheric concentrations than ice-core rBC records. Here, we present a new incandescence-based method for measuring rBC in lake sediment cores using the Single-Particle Soot Photometer. Compared to existing filter-based techniques, this highly sensitive method requires a much smaller sample size, resulting in reproducible, relatively high-temporal-resolution records of past rBC deposition.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.029
GPT teacher head0.230
Teacher spread0.201 · 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