MétaCan
Menu
← Back to cohort
Record W7098020183

Ground-based Near-Infrared Observations of Venus Night Side: Near-Infrared 0

2007· article· en· W7098020183 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsVenusAirglowWavelengthSpectral lineIntensity (physics)Atmosphere of VenusExcited stateEmission spectrum
DOInot available

Abstract

fetched live from OpenAlex

new-infrared emission the Venus 100 km) is and variable. Spectroscopic observations acquired in 1975 indicated day and emission rates and 1.2 (1 MR 1012 photons cm 2 s - 47r The intensities arc puzzling they indicate that more than half of the atomic oxygen that is produced through of on day side of Venus must recombine to produce 0 2 in excited state. Existing laboratory indicate that this should quantum efficiencies no larger a More observations reveal intensities as as dramatic spatial and temporal variations High (0.3 cm - ) spectra of Venus side with Canada France Hawaii Telescope Spectrometer (a greater than 1 arc common and indicate rotational of K in emitting layer. Spectral cubes taken with the Anglo-Australian Imaging and Canada Hawaii 1991, 1993, and 1994 a more complete of spatial and variability in this emission. Images extracted at wavelengths within Q-branch (1 .269 show contrasts larger than 10 to 1 across the side. disk-averaged intensity is comparable to seen in...

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.030
GPT teacher head0.243
Teacher spread0.213 · 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 designObservational
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
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicPlanetary Science and Exploration→French-language works237,207→