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Record W1978357717 · doi:10.1080/07438140009354228

Use of a Remote Operated Vehicle and Sonar to Characterize and Estimate the Distribution of Benthic Vegetation in Waldo Lake, Oregon

2000· article· en· W1978357717 on OpenAlexaff
Randall A. Jones

Bibliographic record

VenueLake and Reservoir Management · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsMedicine Hat College
Fundersnot available
KeywordsBenthic zoneRemotely operated vehicleSonarWhorl (mollusc)Vegetation (pathology)GeologyRemotely operated underwater vehicleEnvironmental scienceRemote sensingHydrology (agriculture)OceanographyPaleontology

Abstract

fetched live from OpenAlex

ABSTRACT Bryophytes that occur in Waldo Lake, Oregon were video-documented and their distribution estimated with sonar. In August 1990, the in situ growth form of the plants was directly observed for the first time using a remote operated vehicle (ROV). Specific growth form of the plants ranged from relatively uniform stand heights (0.25 to 1.0 m) within patches to moderately isolated forms best described as twisted “windrows” or “whorls.” The diameter of the whorls ranged from approximately 0.25 to 0.75 m in diameter and from 5 to 15 m in length. The whorl form was typically in association with patch edges. Plants were found at depths of 128 m (the maximum depth of the lake) and to an upper depth limit of approximately 40 m. The maximum distribution of plants was estimated at 48.9% of the lake area. The use of direct ROV video observation, combined with the sonar, proved to be an acceptable first step in qualitatively describing plant growth and estimating benthic vegetation distribution within the lake.

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)0.000
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 score0.265
Threshold uncertainty score0.428

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 head0.014
GPT teacher head0.234
Teacher spread0.220 · 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 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

Citations1
Published2000
Admission routes1
Has abstractyes

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