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Record W6913132107 · doi:10.5443/1843

OASIS-CANADA-OOTI CFL: Atmospheric composition and structure during the CFL campaign near the Amundsen icebreaker in the Amundsen Gulf

2016· dataset· en· W6913132107 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Polar Data Network · 2016
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsInstrumentation (computer programming)ArcticSampling (signal processing)Global Positioning SystemSea iceData logger

Abstract

fetched live from OpenAlex

Data were compiled in campaign mode and were obtained over the ice of the Amundsen Gulf, using the OOTI (Out On The Ice) mobile laboratory mounted on a specially manufactured Arctic sled and running on a bank of 12 VDC batteries. Chemical and meteorological variables were collected with commercial instrumentation, as detailed below. Mercury (Hg): Gardis (atomic absorption spectroscopy) instrumentation displayed strong dependence of the cell desorption with battery voltage, thus data are not archived. Bromine monoxide (BrO): Measurements were made with a hybrid MAXDOAS (multi-axis differential optical absorption) instrument built by the University of Heidelberg and Hoffmann Messtechnik GmbH, and integrated scan head built by University of Alaska Fairbanks. Bromine monoxide and oxygen dimer data were taken at variable temporal resolution based on available light intensity and are all included in one file for the entire campaign. Ozone (O3): One-minute averages are taken with two 2B technology monitors at two different heights and archived data are merged with meteorological variables in daily combined data files. Atmospheric turbulence was characterised by Sonic anemometer; Data were recorded at 10Hz, 1 Hz, 1 minute sampling frequency and archived at one-minute resolution. Wind, temperature, atmospheric pressure, relative humidity, and radiation: Campbell Scientific instrumentation data are archived at one-minute intervals. Position: GPS was recorded at 10Hz resolution by NovaTel GPS receiver built into the OOTI system. One-minute frequency record is included with combined ozone and meteorological data daily files. Environmental survey (photos): Logitech webcam taking snap shots at five-minute intervals are archived. Carbon dioxide measurements made with Licor instrument indicated strong dependence on temperature and input voltage thus are not archived.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0090.001
Research integrity0.0010.003
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 head0.010
GPT teacher head0.210
Teacher spread0.200 · 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

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Polar Data NetworkFrench-language works237,207