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Record W2999413405 · doi:10.32597/theses/142/

Assessment of Eastern Massasauga Rattlesnakes (Sistrurus Catenatus) in Berrien County Historical Sites

2019· dissertation· en· W2999413405 on OpenAlexaboutno aff
Roshelle Hall

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
FundersU.S. Fish and Wildlife ServiceEli Lilly and Company
KeywordsGeographyThreatened speciesHabitatRange (aeronautics)Habitat fragmentationFragmentation (computing)Distribution (mathematics)EcologyBiologyEngineering

Abstract

fetched live from OpenAlex

The Eastern Massasauga rattlesnake (Sistrurus catenatus; EMR) is a small robust pit viper currently found in nine states and the province of Ontario, Canada. Wetland habitats have experienced significant destruction and fragmentation by humans; as a result, the current distribution of the EMR is a fraction of its historic distribution. For this reason, the EMR has been federally listed as threatened. In general, little is known about the current distribution of this rattlesnake (in the southwest corner of Michigan, the size of local populations or their stability and genetic diversity. Much of this knowledge is based upon historical data. My purpose was to update the available information on the current status in Berrien County and one Van Buren County site. This was done through presence/absence surveys, evaluation of potential threats at each site visited and genetic analysis at the haplotype level. Through my field surveys I confirmed presence of EMRs at 3 of the 5 historic locations surveyed. Current threats at these sites include human encroachment, road traffic, and general health of the particular habitat. Despite the relatively small sample size and isolated populations in these counties, the haplotype diversity discovered appears to be high in comparison to the rest of their range.

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 score0.166
Threshold uncertainty score0.329

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.251
Teacher spread0.240 · 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
Published2019
Admission routes1
Has abstractyes

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