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Record W4205920632 · doi:10.3133/ofr20081148

Characterization of Northern Gulf of Mexico Deepwater Hard Bottom Communities with Emphasis on <i>Lophelia</i> Coral - <i>Lophelia</i> Reef Megafaunal Community Structure, Biotopes, Genetics, Microbial Ecology, and Geology (2004–2006)

2008· article· en· W4205920632 on OpenAlexaff
Randall Et, Michael T. Randall, Kirsten Luke, April D. Norem, Jana M. Miller, Kenneth J. Sulak, R. L. Brooks, Andrew Quaid, George E. Yeargin, William M. Harden, John F. Caruso, S. Ross, R George, Stephen D. Cairns, U Fish, Wildlife Service, James D. Darling

Bibliographic record

VenueAntarctica A Keystone in a Changing World · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicCoral and Marine Ecosystems Studies
Canadian institutionsMcMaster University
FundersNational Museum of Natural HistoryU.S. Geological SurveySmithsonian InstitutionNational Oceanic and Atmospheric AdministrationNational Marine Fisheries ServiceFlorida Museum of Natural History
KeywordsMegafaunaOceanographyReefGeologyCoral reefEcologyCoralPaleontologyPleistoceneBiology

Abstract

fetched live from OpenAlex

NOTE 1: This report addresses Objectives 1, 2, and 4-9, above.Objective 3 research, stable isotope analyses of trophic structure, is ongoing as of the date of this report, and will be published separately.

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 score0.085
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.013
GPT teacher head0.207
Teacher spread0.194 · 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

Citations7
Published2008
Admission routes1
Has abstractyes

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