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Record W3138063704 · doi:10.3390/rs13061048

Correction: Hui, Y., et al. Spatio-Temporal Validation of AIRS CO2 Observations Using GAW, HIPPO and TCCON. Remote Sens. 2020, 12, 3583

2021· article· en· W3138063704 on OpenAlexaff
Hui Yang, Gefei Feng, Ru Xiang, Yunjing Xu, Yong Qin, Songnian Li

Bibliographic record

VenueRemote Sensing · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsToronto Metropolitan University
FundersInstitute for Research on Women and Gender, University of MichiganMinistry of Business, Innovation and EmploymentEuropean CommissionNational Natural Science Foundation of ChinaNational Aeronautics and Space AdministrationNational Institute of Water and Atmospheric ResearchNational Center for Atmospheric Research
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

The authors would like to make the following correction of [...]

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)0.006
metaresearch head score (Gemma)0.074
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.138
Threshold uncertainty score0.462

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.074
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0070.008
Science and technology studies0.0040.002
Scholarly communication0.0060.003
Open science0.0060.004
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.1380.079

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 head0.021
GPT teacher head0.237
Teacher spread0.216 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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