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Record W2315412800 · doi:10.5281/zenodo.48802

folium: v0.2.1

2016· article· en· W2315412800 on OpenAlexaff
Martin Journois, Andrew Bird, Antonio Lima, Andrew J. Giessel, Anand Patil, J. A. Duke, Pavel Tyslacki, Edwin H. Shin, uıɐɾ ʞ ʇɐɯɐs, shankari, Jacob Wasserman, Adam R. Pah, Aron Ahmadia, Kim Younggun, Roy Keyes, Lennart Fricke, Dennis O'Brien, jcea, jelmelk, Elliott Sales de Andrade

Bibliographic record

VenueINFM-OAR (INFN Catania) · 2016
Typearticle
Languageen
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsFolium of DescartesChemistry

Abstract

fetched live from OpenAlex

0.2.1 Bugfix release - TopoJson.get_bounds() returns [lon,lat] instead of [lat,lon] (eddies #383) - HeatMap was not passing "name" argument (eddies #380) - Fix heatmap.fit_bounds (same bug as #383) (BibMartin #384) - Fix WMS rendering (ocefpaf #404) - Change Leaflet.awesome-markers URL (BibMartin #393)

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: Software
Teacher disagreement score0.455
Threshold uncertainty score0.777

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0070.005
Open science0.0080.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.4550.458

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 head0.012
GPT teacher head0.271
Teacher spread0.259 · 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.

Study designNot applicable
Domainnot available
GenreSoftware

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
Published2016
Admission routes1
Has abstractyes

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