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Record W2244053637

Ice Crushing Tests Using a Modified Novel Apparatus

2007· article· en· W2244053637 on OpenAlexvenueno aff
R. Gagnon, Austin Bugden

Bibliographic record

VenueNPARC · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicSmart Materials for Construction
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceBorosilicate glassComposite materialIce wedgeSea iceGeologyIce crystalsMineralogyOptics
DOInot available

Abstract

fetched live from OpenAlex

Modifications to the novel ice crushing apparatus used by Gagnon and Daley (2006) to reduce its compliance in order to eliminate in-plane fractures and related behavior in the ice specimens have been completed. The first set of experiments with the modified apparatus has been performed using large single crystals of ice, lab-grown polycrystalline ice and iceberg ice. Rectangular thick sections (1 cm thickness) of ice were confined between two thick borosilicate glass plates and crushed at -10 °C from one edge face at a rate of 1 cm/s using a transparent Plexiglas platen (1 cm thickness) inserted between the plates. Visual data were recorded from the side using high-speed video (1000 images/s) and vertically through the platen using regular video. Pressure measurements were obtained at the platen/ice interface utilizing the system's newly calibrated unique pressure sensor. Ice contact consisted of intact hard zones that sustained pressures in the 40-70 MPa range and pulverized ice where the pressure was generally lower. As in the previous report, the production and flow of liquid in a thin layer at the intact ice/platen interface was evident. Essentially, the apparatus provided visual data of a 2-D slice of ice during crushing as though it was part of a larger piece of ice.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score0.888

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)0.0010.000

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 head0.259
Teacher spread0.231 · 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

Citations2
Published2007
Admission routes1
Has abstractyes

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