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Record W6969018985 · doi:10.5281/zenodo.7342481

IMBIE software v3.0

2022· other· en· W6969018985 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.

Bibliographic record

VenueEdinburgh Research Explorer (University of Edinburgh) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsUniversity of TorontoMemorial University of Newfoundland
Fundersnot available
KeywordsSoftwarePython (programming language)SimulaIce sheetPreprintGreenland ice sheet

Abstract

fetched live from OpenAlex

The IMBIE processor version 3.0 is the python code developed to parse, aggregate and combine the satellite-based ice sheet mass balance estimates included in the IMBIE assessment described in the <em>Earth System Science Data</em> preprint 'Mass Balance of the Greenland and Antarctic Ice Sheets from 1992 to 2020' (https://doi.org/10.5194/essd-2022-261). More information on the Ice Sheet Mass Balance Inter-Comparison Exercise (IMBIE) can be found on the dedicated project website: http://imbie.org/.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.005
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0050.006
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.7290.002

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 head0.101
GPT teacher head0.320
Teacher spread0.219 · 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