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Record W3176729296 · doi:10.1139/cjes-2021-0039

Chronology and stratigraphy of the Imlay Channel in Lapeer County, Michigan, USA

2021· article· en· W3176729296 on OpenAlexvenueno aff
Jonathan N. Luczak, Timothy G. Fisher, Kenneth Lepper

Bibliographic record

VenueCanadian Journal of Earth Sciences · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
FundersU.S. Geological SurveyUniversity of Toledo
KeywordsRadiocarbon datingGeologyDeglaciationBedrockAlluviumChannel (broadcasting)HoloceneGeomorphologyGlacial periodStratigraphyAlluvial fanOceanographyPaleontologyArchaeologySedimentary rockTectonicsGeography

Abstract

fetched live from OpenAlex

The Imlay Channel in Lapeer County, Michigan, was one of two outlets for the glacial Lake Maumee phase of ancestral Lake Erie. Fifteen new radiocarbon and optical ages from within and adjacent to the Imlay Channel constrain sedimentation rates within the channel and the timing of regional deglaciation. For nearly 50 years, the deglaciation of this region of Michigan has been based on a single age from the Weaver Drain site located near the Imlay Channel, and a new radiocarbon age of 16.7–17.0 cal ka BP from 3 km east of the Imlay Channel supports this long-standing deglacial age. On average, there is a 14 m thick sediment fill within the channel. Radiocarbon and optically stimulated luminescence ages reveal that much of the alluvial fill was deposited by 14.9 ka, and alluvial fans building into the channel stabilized in the early Holocene. Cross-sections along and perpendicular to the Imlay Channel, built from geotechnical borings and water-well records, reveal a current-day bedrock sill elevation at 235 m a.s.l. that would have permitted drainage of all stages of glacial Lake Maumee in the past.

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 score0.726
Threshold uncertainty score0.545

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.228
Teacher spread0.205 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Earth Sciences→Same topicGeology and Paleoclimatology Research→French-language works237,207→