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Record W6929647387 · doi:10.5066/p9q3vay8

Pilot Topobathymetric Terrain Model of the Kootenai River near Bonners Ferry, Idaho, 2009 - 2019

2021· dataset· en· W6929647387 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUSGS DOI Tool Production Environment · 2021
Typedataset
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsnot available
Fundersnot available
KeywordsDigital elevation modelElevation (ballistics)LidarTributaryHydrology (agriculture)Geological surveyTerrainBaseline (sea)Floodplain

Abstract

fetched live from OpenAlex

The U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) has started to initiate the development of pilot 3D National Topography Models to generate 3-dimensional surface elevation models that integrate river topographic bare-earth elevation surfaces with channel bed bathymetry. Detailed knowledge of integrated river system topography, bathymetry, and topobathymetry, is essential for habitat restoration, hydrologic modeling, and other key science applications such as flood mapping and identification of fluvial geomorphic features. An integrated 1-meter topobathymetric digital elevation model (TBDEM) for the Kootenai River near Bonners Ferry, Idaho, has been developed for this first pilot study. The Kootenai River is one of the upper most major tributaries of the Columbia River, flowing from British Columbia through Montana and the Idaho Panhandle then back into Canada, The Kootenai River TBDEM comprises the spatial integration of 10 different geospatial elevation sources including the USGS 3DEP topobathymetric lidar data, existing topographic lidar, and multi-beam acoustic surveys obtained from the U.S. Army Corps of Engineers , and the USGS Idaho Water Science Center. The TBDEM will provide a fundamental baseline for hydrographic and geomorphic applications to support restoration strategies for the white sturgeon habitat and enhanced 2D/3D hydrologic modeling . To develop the Kootenai River TBDEM, the USGS 3DEP acquired topobathymetric (green wavelength) lidar in 2017 for the Kootenai River near Bonners Ferry, Idaho that successfully captured primary deposition areas, secondary channels, and bank to bank (submerged topography) coverage of straight, meander, and shallow braided sections of the river. Topobathymetric lidar data were spatially integrated with topographic lidar and sonar data to create a seamless TBDEM void of gaps and with complete coverage for the Kootenai River pilot study area. The integration process includes a critical step where the topography, topobathymetry, and bathymetry data are sorted and prioritized based on survey date, accuracy, spatial distribution, and point density to develop a TBDEM based on the best available elevation data. Every input data source in the TBDEM has been horizontally referenced to UTM Zone 11, NAD83 2011 and vertically referenced to the North American Vertical Datum of 1988 (NAVD88) Geoid12b. The spatial resolution is 1-meter with general thalweg elevations ranging from 541 meters in the upstream segment to 521 meters in the downstream segment. The overall temporal range of the input topography, topobathymetry, and bathymetry is 2009 to 2019.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.082
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.223
Teacher spread0.204 · 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