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Record W54943465

Marine Mammals Ashore: A Field Guide for Strandings. Second Edition

2005· book-chapter· en· W54943465 on OpenAlexaboutno aff
J. R. Geraci, Valerie J. Lounsbury, Nathan A. Yates

Bibliographic record

VenueDefense Technical Information Center (DTIC) · 2005
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
Fundersnot available
KeywordsMarine mammalGeographyVariety (cybernetics)Library scienceFisheryCommissionMarine lifeOceanographyHistoryPolitical scienceComputer scienceBiologyGeologyLawArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Marine Mammals Ashore: A Field Guide for Strandings, by Joseph R. Geraci and Valerie J. Lounsbury, was completed and published in 1993 by the Texas A&M University Sea Grant College Program. It has been used as a training tool for the U.S. regional stranding networks and by established and developing marine mammal stranding networks in more than 30 countries. The book was out of print by 1997. With support from the Office of Naval Research, NOAA Fisheries, and the Marine Mammal Commission, the project team prepared a second edition that contains updated information on a variety of topics relevant to stranding networks worldwide, with emphasis on those in the U.S. The updated text expands the topics of human-related and natural mortality and unusual mortality events. It also expands the geographic area of coverage to include more on Canada and Mexico, and provides additional protocols for necropsy and sample collection. The book was published by the National Aquarium in Baltimore in December 2005.

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: Other · Consensus signal: Other
Teacher disagreement score0.151
Threshold uncertainty score0.505

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1510.133

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 head0.019
GPT teacher head0.245
Teacher spread0.226 · 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
GenreOther

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

Citations389
Published2005
Admission routes1
Has abstractyes

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