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Record W6906761087 · doi:10.17882/43499

Near-real-time quality-controlled radiometric profiles acquired by Bio-Argo floats

2016· dataset· en· W6906761087 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSEANOE · 2016
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsIrradianceRadiometryAttenuationAtmospheric correctionPhotosynthetically active radiationRadiometric datingWavelengthRadiation

Abstract

fetched live from OpenAlex

Vertical profiles of Photosynthetically Available Radiation (PAR) and downward irradiance (Ed) at 3 wavelengths (380, 412 and 490 nm) are routinely acquired by autonomous Bio-Argo floats. The database here presented includes radiometric profiles that have been quality-controlled using a specifically developed procedure for real-time distribution of data. The procedure is aimed at verifying only the shape of profiles. In each profile, dark signal, atmospheric clouds, spikes and wave focusing are flagged in a way compliant with the Argo real-time data management system. These data are therefore totally adapted to derive optical quantities such as the diffuse light attenuation coefficients. No quality control on the measured irradiance quantity is performed, which would require development of delayed-mode quality-control procedures.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.158
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0090.168

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 head0.018
GPT teacher head0.301
Teacher spread0.283 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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