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Record W6930900423 · doi:10.5281/zenodo.15678952

The Global Pedogenon Map: Combining and Spatialising the Factors of Soil Formation

2025· dataset· en· W6930900423 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typedataset
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsnot available
FundersAustralian Research Council
KeywordsSoil mapDigital soil mappingRaster graphicsDigital mappingSoil waterGlobal MapRaster dataDigital elevation modelSpatial analysis

Abstract

fetched live from OpenAlex

Description The global pedogenon map classifies soil units based on similarities in their formation processes while excluding anthropogenic effects, at a high spatial resolution of 90 meters in the Equator. This repository contains data from a scientific work that was published in Geoderma (Francos et al., 2025a), presented in the Digital Soil Mapping & GlobalSoilMap conference in Bengalore, India, 2025 (Francos et al., 2025b), and in the Soils for Our Future 2025 Conference in Winnipeg, Canada (Francos et al., 2025c): The global pedogenon map in 90-meters resolution: GPM_mosaic_17062025.tif The centroids of the pedogenon classes: RGB_CENTROIDS_04062025.csv Sampling points after data processing and before classification: POINTS_04062025.csv Format: Raster map in GeoTIFF format (*.tif). Spatial resolution: 90 meters in the Equator. Coordinate reference system: EPSG:4326 (WGS 84). Citation: If you are using this material, cite: Francos, N., Sharififar, A., Flynn, T., Styc, Q., Evangelista, S.J., Padarian, J., Ng, W., Field, D.J., Minasny, B., McBratney, A.B., 2025. The global pedogenon map: Combining and spatialising the factors of soil formation. Geoderma 460, 117462. https://doi.org/10.1016/j.geoderma.2025.117462 References: Francos, N., Sharififar, A., Flynn, T., Styc, Q., Evangelista, S.J., Padarian, J., Ng, W., Field, D.J., Minasny, B., McBratney, A.B., 2025a. The global pedogenon map: Combining and spatialising the factors of soil formation. Geoderma 460, 117462. https://doi.org/10.1016/j.geoderma.2025.117462 Francos, N., McBratney, A., 2025b. The Global Pedogenon Map. In: Soil Mapping for Sustainable Land Use Planning, 3rd Joint Workshop of the IUSS Working Groups on Digital Soil Mapping & GlobalSoilMap, 21st–24th January 2025, Bengaluru, India. Francos, N., 2025c. The Global Pedogenon Map: Combining and Spatialising the Factors of Soil Formation. In: GSS Session A – Reference Soils for Assessing Soil Condition and Health, Soils for Our Future 2025 Conference – Joint Meeting of the Global Soil Security Conference, Canadian Society of Soil Science, and IUSS Division 1, 20th–25th July 2025, Winnipeg, Canada.

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)0.001
metaresearch head score (Gemma)0.002
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.041
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.010
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0410.016

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 head0.023
GPT teacher head0.267
Teacher spread0.244 · 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
GenreDataset

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
Published2025
Admission routes1
Has abstractyes

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