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Record W2055379194 · doi:10.1080/07438140109354135

Under Ice Water Movements Induced by Mechanical surface Aeration and Air Injection

2001· article· en· W2055379194 on OpenAlex
Theron Miller, W. C. Mackay, David T. Walty

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLake and Reservoir Management · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAerationEntrainment (biomusicology)Environmental scienceHydrology (agriculture)Air entrainmentStructural basinShoreSurface waterSillEnvironmental engineeringGeologyOceanographyGeomorphologyMechanicsGeotechnical engineeringEcologyGeochemistry

Abstract

fetched live from OpenAlex

ABSTRACT We tested the hypothesis that successful lake aeration for winterkill prevention induces large-scale (whole-lake) convective flow rather than discrete aerated cells. Discrete circulating cells were not identified using mechanical surface aeration or air injection. Thermal destratification reached the most distant shorelines (up to 900 m). However, dissolved oxygen levels began to decline at about 600 m in lakes with surface aerators and at about 800 m with air injection. Vertical mixing was determined by the depth below the diffusers or surface aerators (as opposed to zmax). In addition, small depressions or distinct basins separated from the aerated basin by a shallow sill stratified and tended toward anoxia as winter progressed. Near-field velocity and dye measurements helped define zones of detrainment and entrainment near the aeration devices. These observations revealed a new conceptual model comprised of single detrainment and entrainment plumes separated by a sheer zone.

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.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.208
Teacher spread0.197 · 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