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Record W1590480815 · doi:10.21083/surg.v6i2.2208

Three short studies from field studies in marine biology and oceanography

2013· article· en· W1590480815 on OpenAlexaffvenueabout
Melanie Barry, Shannon Ferraro, Kaitlyn Wagner

Bibliographic record

VenueSURG Journal · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMarine biologyOceanographyMarine invertebratesBiological oceanographyMarine researchFish <Actinopterygii>Benthic zoneMarine geologyEcologyBiologyLibrary scienceFisheryComputer scienceGeology

Abstract

fetched live from OpenAlex

ZOO*4300 (Marine Biology and Oceanography) is a senior-level field course offered by the Department of Integrative Biology at the University of Guelph. This two-week course is held at the Huntsman Marine Science Centre in St. Andrew’s New Brunswick, Canada. Students enrolled in the course study various aspects of the ecology, behaviour, physiology, biochemistry and genetics of marine organisms using a variety of oceanographic techniques. The course also includes group exercises to study various intertidal and sub-tidal environments as well as boat cruises to collect plankton, benthic invertebrates, marine fish, and to observe marine mammals. The course provides excellent opportunities for students to familiarize themselves with state-of-the-art techniques involved in various branches of marine biology and oceanography and conduct an individual research project. This feature highlights three individual research projects by University of Guelph students. More information about the field course in marine biology and oceanography is accessible at the following link: http://www.uoguelph.ca/ib/undergrad/fieldcourses_marine.shtml.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.052
GPT teacher head0.308
Teacher spread0.255 · 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 teacher head, not a consensus.

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
Published2013
Admission routes3
Has abstractyes

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