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Record W6929116759 · doi:10.4224/12340979

Microstructure of first year sea ice ridges

2000· report· en· W6929116759 on OpenAlexaffvenueabout

Bibliographic record

VenueNPARC · 2000
Typereport
Languageen
FieldMedicine
TopicHepatitis Viruses Studies and Epidemiology
Canadian institutionsNational Research Council CanadaCanadian Wood Council
Fundersnot available
KeywordsRidgeSea iceMicrostructureArctic ice packFast iceAntarctic sea icePancake iceSalinity

Abstract

fetched live from OpenAlex

First year sea ice ridges were characterized off the West Coast of Newfoundland from 07 to 22 March 1999. This report presents a comprehensive investigation of five ridges sampled during the March 1999 program. The ice microstructure of the ridges is correlated to the bulk physical properties (temperature, salinity and density) and consolidated layer thickness of the ridged ice. The ridges had a maximum sail height that ranged from 1.5 to 3.8 m. The consolidated layer thickness of the ridged ice ranged from 0.7 to 2.1 m and the total ice thickness varied from 1.8 to 5.0 m. The temperature of the ice cores was just below 0°C. The average bulk ice salinity ranged from 3.6 to 4.1 ‰, with a maximum of 6 ‰. Ice densities from the examined ridge site ranged from 0.85 to 0.93 Mg/m³. The warm temperatures, high porosity and low density of the ice indicated temperate ridges in a deteriorated state. Due to the deteriorated state of the ridged ice, it is expected that the measured average salinity of the ridges may have decreased after the ridge formed. The sail blocks showed that the ice involved in the ridge formation consisted of columnar grained ice, predominantly. Examination of the macrostructure of ridged ice cores showed highly porous, loosely consolidated ice with discrete banding. The microstructure of the cores revealed a non-uniform matrix comprised of mostly granular ice, with some coarse frazil particles and elongated columns.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.045
GPT teacher head0.323
Teacher spread0.278 · 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 designObservational
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

Citations3
Published2000
Admission routes3
Has abstractyes

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