MétaCan
Menu
Back to cohort
Record W4251040394 · doi:10.5194/acp-2018-720-rc1

Distribution of the ratio of ground-based measurements at noon and time of satellite overpass needs explanation

2018· preprint· en· W4251040394 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicAge of Information Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsNoonSatelliteDistribution (mathematics)Environmental scienceMeteorologyRemote sensingComputer scienceAeronauticsAerospace engineeringGeographyEngineeringMathematicsAtmospheric sciencesGeology

Abstract

fetched live from OpenAlex

The manuscript by Zhang et al. describes a comparison of erythemal dose rates (EDRs) measured by the space-borne Ozone Monitoring Instruments (OMI) and ground-based UVB1 pyranometers manufactured by Yankee Environmental Systems.The ground-based instruments are located in North America (30 sites in the U.S. plus one site in Canada) and are part of the UV-B Monitoring and Research Program (UVMRP) operated by the Colorado State University.This network is currently the largest ultraviolet (UV) radiation monitoring network operating in the U.S. and data from the network are therefore important for assessing the climatology of UV radiation in the U.S. A comprehensive comparison of the network's measurements with OMI observations has not been published to my knowledge.

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)0.001
metaresearch head score (Gemma)0.007
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 score0.020
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.005

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 head0.023
GPT teacher head0.224
Teacher spread0.201 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same topicAge of Information OptimizationFrench-language works237,207