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Record W6947830171 · doi:10.4224/17712940

Ice severity for polar class vessels: input into the ASPPR arctic shipping regulations

2011· report· en· W6947830171 on OpenAlexafffundvenueabout

Bibliographic record

VenueNPARC · 2011
Typereport
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsNational Research Council CanadaCanadian Wood Council
FundersTransport Canada
KeywordsArcticThe arcticClass (philosophy)Control (management)PolarSea ice

Abstract

fetched live from OpenAlex

Research and recent international initiatives have shown that Transport Canada’s Arctic Shipping Pollution Prevention Regulations (ASPPR) need to be modified and updated. The Canadian Hydraulics Centre of the National Research Council of Canada has been conducting research on methods to improve and update the two navigation control systems contained in the ASPPR. NRC-CHC undertook research leading to a revised approach (Hybrid System) to navigation control and applied this approach to a Type B vessel to illustrate the Hybrid System. Numerous comments were received on this by all key Stakeholders of the ASSPPR. This report documents the detailed ice severity for all 16 zones in the ASPPR throughout the winter for three Type vessels (E,B,A) and five Polar Class vessels (PC7,6,5,4,3). The information can be used as input into revising the Canadian Arctic shipping regulations. It provides a solid scientific basis for these regulations.

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.373
Threshold uncertainty score0.742

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.027
GPT teacher head0.299
Teacher spread0.272 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes4
Has abstractyes

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