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Record W4243719504 · doi:10.1038/41612.2397-3722

npj Climate and Atmospheric Science

2019· paratext· en· W4243719504 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenpj Climate and Atmospheric Science · 2019
Typeparatext
Languageen
Field
Topic
Canadian institutionsnot available
FundersNOAA Pacific Marine Environmental LaboratoryOak Ridge National LaboratoryLeibniz-Institut für TroposphärenforschungNOAA ResearchClimate Program OfficeFundamental Research Funds for the Central UniversitiesLeibniz-GemeinschaftSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungCornell Center for Materials ResearchOffice of ScienceUniversity of Colorado BoulderUniversity of ChicagoEarthLab, University of WashingtonU.S. Air ForceNational Oceanic and Atmospheric AdministrationUniversität LeipzigEnvironment and Climate Change CanadaNanjing UniversityUniversidade de LisboaPaul Scherrer InstitutJane ja Aatos Erkon SäätiöNational Natural Science Foundation of ChinaNational Research Foundation of KoreaDivision of ChemistryNational Science FoundationChina Postdoctoral Science FoundationU.S. Department of EnergyBeijing Normal UniversityUniversität InnsbruckCarnegie Mellon UniversityBundesministerium für Bildung und ForschungSeoul National UniversityYoung Scientists FundOffice of U.S. Foreign Disaster AssistanceU.S. Department of CommerceNorthern Gulf InstituteCooperative Institute for Research in Environmental SciencesCERNNational Research FoundationTartu ÜlikoolMississippi State UniversityNational Aeronautics and Space AdministrationItä-Suomen YliopistoBeijing University of Chemical TechnologyCanadian Armed ForcesHelsingin YliopistoEuropean CommissionCalifornia Institute of TechnologyJapan Society for the Promotion of ScienceUniversity of MiamiPrinceton UniversityUniversity of Oklahoma
KeywordsClimate scienceEnvironmental scienceClimatologyAtmospheric sciencesMeteorologyClimate changeGeographyGeologyOceanography

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.513
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.010
Science and technology studies0.0040.016
Scholarly communication0.0040.004
Open science0.0040.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.044

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 head0.014
GPT teacher head0.283
Teacher spread0.269 · 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

Citations35
Published2019
Admission routes1
Has abstractno

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