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Record W2139416807 · doi:10.1007/s11368-010-0235-1

Sediment response to catchment disturbances

2010· article· en· W2139416807 on OpenAlexaff
Philip N. Owens, Ellen L. Petticrew, Marcel van der Perk

Bibliographic record

VenueJournal of Soils and Sediments · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil erosion and sediment transport
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsDrainage basinSedimentEnvironmental scienceHydrology (agriculture)GeologyWater resource managementGeographyGeomorphologyCartographyGeotechnical engineering

Abstract

fetched live from OpenAlex

The surface of the planet undergoes a constant battle for balance between uplift and erosion. Plate tectonics cause land to be created and mountains to be born, while weathering and erosion act to lower the land surface. Rivers transport the products of weathering and erosion to storage points, or sinks; the ultimate sink being the deep oceans. For a given landscape, an equilibrium is reached whereby the rates of sediment distribution between sources and sinks are fairly constant. In the case of a river channel, the amount of water and sediment moved through a landscape is balanced by the energy available to do this, such that a change in either of the two generates adjustments in stream power. A change in environmental conditions often results in a response, the magnitude of which is a function of the type and intensity of “disturbance” to the system. In the case of the river channel, this might manifest itself in the form of channel aggradation or degradation, whereby sediments are either deposited or eroded in response to changes in available energy or sediment supply.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.249

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.233
Teacher spread0.221 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations38
Published2010
Admission routes1
Has abstractyes

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