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Record W6947408026 · doi:10.4224/12328072

Système des régimes de glaces pour la navigation dans l'Arctique: guide illustré

2003· report· fr· W6947408026 on OpenAlexaffvenue

Bibliographic record

VenueNPARC · 2003
Typereport
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsNational Research Council CanadaCanadian Wood Council
Fundersnot available
KeywordsCeylonBody postureBalance (ability)

Abstract

fetched live from OpenAlex

Cette brochure se veut un guide de référence pour le Système des régimes de glaces pour la navigation dans l'Arctique (SRGNA). Il s'agit d'un guide illustré indiquant les quatre étapes à suivre pour appliquer le système des régimes de glaces. En première étape, l'utilisateur caractérise le régime de glaces. En deuxième étape, il établit les multiplicateurs glaciels selon la catégorie de navire. Ensuite, il combine les renseignements sur le régime de glaces et les multiplicateurs glaciels pour établir le numéral glaciel. Enfin, le numéral glaciel sert à décider si le navire peut emprunter l'itinéraire choisi ou en prendre un autre. Nous espérons que les renseignements contenus dans les pages suivantes aideront le lecteur à mieux comprendre le système des régimes de glaces et qu'il y trouvera une méthode concise pour appliquer le SRGNA.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.391
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.012
GPT teacher head0.283
Teacher spread0.271 · 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.

Study designBench or experimental
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
Published2003
Admission routes2
Has abstractyes

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