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Record W6910209101 · doi:10.4224/8896297

Terry Fox resistance tests: Phase III (PMM) ITTC Experimental Uncertainty Analysis Iniative

2004· report· en· W6910209101 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2004
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPhase (matter)Task (project management)Test (biology)Uncertainty analysisMeasurement uncertaintyTest method

Abstract

fetched live from OpenAlex

This is the 3rd phase of a research program designed to develop a procedure for Experimental Uncertainty Analysis (EUA) for ship resistance testing in an ice tank. The latter is a task for the 23rd and 24th ITTC specialist committee on ice.In this report, the results of Phase III ship resistance in ice test program were documented and used to formulate the EUA procedure. One of the objectives of Phase III test program is to compare the test results using the tow post (Phase I) with those using the PMM (Phase III).The procedure for EUA, presented in this report, validates the applicability of the preliminary EUA procedure (previously, proposed by Derradji-Aouat, 2002) to the laboratory measurements from both phases of testing. Consequently, this EUA procedure will be recommended to the 24th ITTC (during its upcoming meeting in Scotland, 2005).

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)0.010
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.373
Teacher spread0.328 · 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 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

Citations0
Published2004
Admission routes1
Has abstractyes

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