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Physical Characterization of Frozen Aqueous Solutions Containing Sodium Chloride and Humic Acid at Environmentally Relevant Temperatures

2020· article· en· W3000437773 on OpenAlexafffund
Subha Chakraborty, Tara F. Kahan

Bibliographic record

VenueACS Earth and Space Chemistry · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsUniversity of Saskatchewan
FundersCanada Research ChairsNational Science Foundation
KeywordsBrineChemistryEutectic systemAqueous solutionSupercoolingSodiumChromatographyAnalytical Chemistry (journal)MineralogyMicrostructureOrganic chemistryCrystallography

Abstract

fetched live from OpenAlex

Sea ice presents a complex reaction medium containing poorly understood distributions of solutes, ice, and sometimes liquid brine. We studied the three-dimensional distribution of liquid brine and dissolved organic matter using confocal Raman microscopy at environmentally relevant sodium chloride (NaCl) and dissolved carbon concentrations in frozen ternary solutions containing NaCl and humic acid (HA). While HA is predominantly excluded to the ice surface in the absence of salt, it coexists with liquid brine in the micrometer scale channels throughout the entire ice sample when salt is present. HA increased the extent of liquid coverage of the ice surface at each temperature studied, but the total amount of liquid water at the surface did not increase. This suggests that HA promotes spreading of liquid water at the surface of frozen salt solutions, but does not increase the extent of surface melting. HA suppressed the phase transition from solid ice + liquid brine to solid ice + solid hydrohalite (NaCl·2H2O) when samples were cooled. Phase-transition temperatures ranged from (−26.4 ± 0.6) °C (with 0.003 mg/L HA) to (−33.7 ± 0.5) °C (with 30 mg/L HA), compared to (−22.3 ± 0.5) °C in the absence of HA. The phase transition in the reverse direction (as the samples were warmed) occurred at (−21.8 ± 0.5) °C, very close to the Eutectic temperature (−21.1 °C) at all HA concentrations and in the absence of HA.

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 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 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 score0.254
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.171
Teacher spread0.164 · 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 teacher head, 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

Citations11
Published2020
Admission routes2
Has abstractyes

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