MétaCan
Menu
← Back to cohort
Record W3209007162 · doi:10.5281/zenodo.4477945

Supplementary data to: Increasing risk of glacial lake outburst floods from future Third Pole deglaciation

2021· dataset· en· W3209007162 on OpenAlexaff
Guoxiong Zheng, Simon Allen, Anming Bao, Juan Antonio Ballesteros‐Cánovas, Matthias Huss, Guoqing Zhang, Junli Li, Ye Yuan, Liangliang Jiang, Tao Yu, Wenfeng Chen, Markus Stoffel

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsImpact
Fundersnot available
KeywordsDeglaciationGlacial periodGeologyPhysical geographyGeomorphologyGeography

Abstract

fetched live from OpenAlex

This archive contains data and results produced in a study assessing glacial lakes and related outburst flood hazard and risk on Earth's Third Pole (linked to a journal article: Increasing risk of glacial lake outburst floods from future Third Pole deglaciation, published in Nature Climate Change in 2021). Archive contents The archive contents are origanised into four parts, each stored as a .zip compressed file. 1. Glacial lake data sets Glacial lake data sets mapped for 1990 and 2015, and modelled for the future scenarios (2050 and 2100 under RCP2.6, RCP4.5 and RCP8.5; and an ice-free scenario) on the Third Pole. This directory includes: glacial_lakes_1990_v1.shp glacial_lakes_2015_v1.shp projected_glacial_lakes_2050_rcp26.shp projected_glacial_lakes_2050_rcp45.shp projected_glacial_lakes_2050_rcp85.shp projected_glacial_lakes_2100_rcp26.shp projected_glacial_lakes_2100_rcp45.shp projected_glacial_lakes_2100_rcp85.shp projected_glacial_lakes_ice-free.shp metadata.xlsx 2. Hazard and risk assessments GLOF hazard and risk assessment results for present (2015) and modelled potential glacial lakes (2050 and 2100 under RCP2.6, RCP4.5 and RCP8.5; and an ice-free scenario) on the Third Pole. This directory includes: present_hazard_and_risk_2015.shp projected_hazard_and_risk_2050_rcp26.shp projected_hazard_and_risk_2050_rcp45.shp projected_hazard_and_risk_2050_rcp85.shp projected_hazard_and_risk_2100_rcp26.shp projected_hazard_and_risk_2100_rcp45.shp projected_hazard_and_risk_2100_rcp85.shp projected_hazard_and_risk_ice-free.shp metadata.xlsx 3. Transboundary threats Potentially dangerous glacial lakes with transboundary GLOF threats for present (2015) and modelled potential glacial lakes (ice-free scenario) on the Third Pole. This directory includes: present_potential_transboundary_glacial_lakes_2015.shp projected_potential_transboundary_glacial_lakes_ice-free.shp cross_border_points_present.shp cross_border_points_projected.shp metadata.xlsx 4. Aggregated results Region or hydrobasin/interior zone aggregated results for present and modelled potential glacial lakes and related hazard and risk assessments on the Third Pole. This directory includes: region_aggregated.shp basin_aggregated.shp metadata.xlsx

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)0.016
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.808
Threshold uncertainty score0.274

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8080.334

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 head0.041
GPT teacher head0.248
Teacher spread0.207 · 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
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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicCryospheric studies and observations→French-language works237,207→