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Record W6944811869 · doi:10.18739/a2pz51n58

Conductivity-Temperature-Depth (CTD) and Geochemistry Data from 2021 Expedition of the Canadian Coast Guard Ship Louis S. St-Laurent

2022· dataset· en· W6944811869 on OpenAlexaboutno aff

Bibliographic record

VenueUC Santa Barbara · 2022
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicBanana Cultivation and Research
Canadian institutionsnot available
Fundersnot available
KeywordsCoast guardCruiseHydrographyBeaufort scaleOcean gyreDocumentation

Abstract

fetched live from OpenAlex

Contains data from a hydrographic cruise conducted about the aboard the Canadian Coast Guard Ship, CCGS Louis S. St-Laurent, August 19 to September 16th, 2021 under the Beaufort Gyre Observing System (BGOS)/Joint Ocean Ice Study (JOIS). There were 57 conductivity temperature depth (CTD) casts performed using a SBE911+ CTD system with 24 10-Liter (L) Niskins. The CTD data for down casts are provided in 1-decibar (db) averaged files (*.cnv), in Seabird's text format with one file per cast and separate files. Cruise documentation is available as a text file. Geochemistry data are provided in a separate excel spreadsheet.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.457
Threshold uncertainty score0.942

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0590.000

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 head0.059
GPT teacher head0.275
Teacher spread0.216 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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