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Record W2914549518 · doi:10.4095/215465

A GIS dataset of geological features for the Red Fern Lake area (94 G/5), British Columbia

2004· report· en· W2914549518 on OpenAlexaffabout
L S Lane

Bibliographic record

Venuenot available
Typereport
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsFernGeographyArchaeologyGeologyCartographyPhysical geographyEcologyBiology

Abstract

fetched live from OpenAlex

The geological map and database are derived from regional mapping in the Redfern Lake (NTS 94G/5) 1:50 000 scale map area, as part of the Geological Survey of Canada's Central Foreland NATMAP project. Geological features represented by attributed points, lines, and polygons have been compiled into a GIS dataset suitable for stand-alone use, or integration with other data sets. User-defined attributes provide traditional geological map information with greater detail and enhancements. Redfern Lake map area encompasses the transition from the Foothills to the Main Ranges of the northern Rocky Mountains of northeastern British Columbia. The Foothills are underlain by late Paleozoic and Mesozoic rocks that are deformed into long linear folds with minor thrust faults, all detached on a basal decollement in the underlying Besa River Formation. The Main Ranges in the western part of the map area are underlain by lower Paleozoic limestones, dolostones and quartzites emplaced by large, shallow-dipping thrust faults onto the Besa River Formation. The dolostones are internally deformed by smaller thrust fault. The limestones contain tight overturned folds with penetrative cleavage. Whereas the early Paleozoic rocks are dominated by thick panels of carbonate rocks, the late Paleozoic and younger units are dominated by clastic rocks with subsidiary but economically significant carbonates in the Carboniferous Prophet (Debolt) Formation and the Triassic Charlie Lake, Baldonnel and Pardonet formations. Broad glacially scoured river valleys cut through the ranges. Some of these valleys are occupied by transverse faults which accommodate differential shortening and/or structural transitions at depth.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.065
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.013
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0340.014

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 head0.040
GPT teacher head0.262
Teacher spread0.222 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2004
Admission routes2
Has abstractyes

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