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Record W2913897118 · doi:10.1016/j.rse.2019.01.035

Colour remote sensing of the impact of artificial light at night (I): The potential of the International Space Station and other DSLR-based platforms

2019· article· en· W2913897118 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueRemote Sensing of Environment · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicImpact of Light on Environment and Health
Canadian institutionsDawson CollegeCegep de Trois-RivieresCegep de ThetfordCégep de Sherbrooke
FundersHorizon 2020 Framework ProgrammeMinisterio de Economía y CompetitividadNatural Environment Research CouncilFonds Québécois de la Recherche sur la Nature et les TechnologiesMinisterio de Ciencia e InnovaciónSight Research UKEuropean Cooperation in Science and TechnologyJohnson Space CenterEuropean CommissionH2020 European Research CouncilNational Aeronautics and Space Administration
KeywordsRemote sensingPanchromatic filmEnvironmental scienceSatelliteComputer scienceLight pollutionPhotochemical Reflectance IndexIndex (typography)MeteorologyMultispectral imageLeaf area indexNormalized Difference Vegetation IndexGeography

Abstract

fetched live from OpenAlex

Author: Sánchez de Miguel, Alejandro et al.; Genre: Journal Article; Finally published : 2019; Open Access; Title: Colour remote sensing of the impact of artificial light at night (I): The potential of the International Space Station and other DSLR-based platforms

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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