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Record W4309121760 · doi:10.1061/9780784484449.005

West Shore Lake Oroville Lineament Geologic Investigation, Northern California

2022· article· en· W4309121760 on OpenAlexaff
Ö. Kozaci, D. F. Hoirup, Judith A. Zachariasen, Christopher Bloszies, Christopher Hitchcock, Rich Koehler, Scott C. Lindvall, Eric V. McDonald, Leah Feigelson, Hans AbramsonWard, Ross Hartleb, Matt Huebner

Bibliographic record

VenueLifelines 2022 · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsMira Geoscience (Canada)
Fundersnot available
KeywordsLineamentGeologyBedrockFault scarpFault (geology)ShoreTrenchGeomorphologyNeotectonicsColluviumSeismologyVolcanoRavineDigital elevation modelFoothillsQuaternaryTectonicsAlluviumPaleontologyRemote sensingArchaeologyCartography

Abstract

fetched live from OpenAlex

The ML5.7 1975 Oroville earthquake seven years after construction of Oroville Dam resulted in recognition of Quaternary activity along the Cleveland Hill fault (CHF) and Swain Ravine fault zone (SRF), located west of the Foothills fault system. A 10-km-long, north-south oriented zone of topographic lineaments including scarps, benches, and saddles identified on lidar coincide with possible northward extension of the CHF on the West Shore of Lake Oroville (WSLO) north of Oroville Dam. The lineaments are parallel with north-south oriented regional bedrock fabric. Field reconnaissance and four fault trench exposures revealed a robust correlation between differential erosion in the Jurassic meta-volcanic bedrock and the linear features. The resulting stepped topography is accentuated by side-hill-benches formed by colluvium that infills areas between resistant bedrock zones. A clay-rich saprolitic unit (175 ka) exposed across a prominent lineament in a trench in Bear Meadow was not faulted, precluding a faulting origin and seismogenic activity for the lineament 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.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.518
Threshold uncertainty score0.970

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.226
Teacher spread0.206 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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