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Record W7038446840

Hydrogeomorphology of Lava Rise Pits in The Laki Lava Field, Southeast Iceland

2023· other· en· W7038446840 on OpenAlexfundno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2023
Typeother
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsnot available
FundersMet OfficeHáskóli ÍslandsYork University
KeywordsLavaVolcanoSnowVegetation (pathology)Lava fieldPrecipitationMoistureSoil water
DOInot available

Abstract

fetched live from OpenAlex

Lava Rise Pits (LRPs) are found within the Laki lava field in Southern Iceland. LRPs naturally occur in pahoehoe lava flows and form when the flow in lava tubes ceases and collapses. The goal of this study was to better understand the hydrogeomorphology of LRPs during the Fall-winter season. Three LRPs were selected, and a range of sensors and measurements monitored thermal and soil moisture (SM) regimes, precipitation, and vegetation and soils surveys. Thermal regimes were primarily impacted by depth, pit openness, ground temperatures (GTs) and air temperature (AT). LRPs more open and exposed to the atmosphere, their near surface above-ground, and GTs mimicked ATs. Precipitation was the most important source of water, with overland flow, and groundwater potentially having a significant role within the LRPs. When GTs were below 0°C, SM levels were low and once GTs rose, snow and ice melt increased SM, linking SM and GT conditions.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.160
Teacher spread0.152 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2023
Admission routes1
Has abstractyes

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