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Record W2735212069 · doi:10.22543/0090-0222.1157

Ectoparasites of Isle Royale, Michigan

2017· article· en· W2735212069 on OpenAlexaboutno aff
Nixon Wilson, Wendel J. Johnson

Bibliographic record

VenueThe Great Lakes Entomologist · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicInsects and Parasite Interactions
Canadian institutionsnot available
FundersPurdue UniversityNational Park ServiceNational Science Foundation
KeywordsNational parkArchipelagoShoreArchaeologyGeographySituatedEcologyOceanographyBiologyGeology

Abstract

fetched live from OpenAlex

Isle Royale National Park is a rocky archipelago of approximately 200 islands and islets in northwestern Lake Superior. Politically it belongs to the State of Michigan situated 50 miles to the southeast. The main island lies parallel to the Canadian shore, which is from 12 to 15 miles to the northwest. It is 45 miles long, and 9 miles wide at its broadest point. A review of the climatological, vegetational, and geological features of the island is given by Mech (1966). Most of the material included in this paper was collected incidently by Johnson during a three-year study (1966-68) of the food habits of the red fox (Vulpes vulpes (Linnaeus)), and population dynamics of three of its principal prey species--the snowshoe rabbit (Lepus americanus), red squirrel (Tamiasciurus hudsonicus), and deer mouse (Peromyscus maniculatus) (see Johnson, 1969). The remaining material (196061) was collected by L. D. Mech during his studies of gray wolf (Canis lupus Linnaeus)-moose (Alces alces) relationships (see Mech, 1966).

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.002

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 head0.024
GPT teacher head0.289
Teacher spread0.266 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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