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Paleotemperatures From Deep-Sea Corals: Overcoming 'Vital Effects'

2000· article· en· W2179273424 on OpenAlexafffundabout
J. E. SMITH, Henry P. Schwarcz, Michael J. Risk, Ted A. McConnaughey, N. Keller

Bibliographic record

VenuePalaios · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Bivalve and Aquaculture Studies
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIconCitationGeologistDownloadLibrary scienceHistoryArt historyArchaeologyComputer scienceWorld Wide Web

Abstract

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Other| February 01, 2000 Paleotemperatures From Deep-Sea Corals: Overcoming 'Vital Effects' JODIE E. SMITH; JODIE E. SMITH 1School of Geography and Geology, McMaster University, Hamilton, Ontario L8S 4M1, Canada Search for other works by this author on: GSW Google Scholar HENRY P. SCHWARCZ; HENRY P. SCHWARCZ 1School of Geography and Geology, McMaster University, Hamilton, Ontario L8S 4M1, Canada Search for other works by this author on: GSW Google Scholar MICHAEL J. RISK; MICHAEL J. RISK 1School of Geography and Geology, McMaster University, Hamilton, Ontario L8S 4M1, Canada Search for other works by this author on: GSW Google Scholar TED A. McCONNAUGHEY; TED A. McCONNAUGHEY 2Biosphere 2, Columbia University, Oracle, AZ 85623 Search for other works by this author on: GSW Google Scholar NATALIA KELLER NATALIA KELLER 3Institute of Oceanology, Moscow, Russia Search for other works by this author on: GSW Google Scholar PALAIOS (2000) 15 (1): 25–32. https://doi.org/10.1669/0883-1351(2000)015<0025:PFDSCO>2.0.CO;2 Article history accepted: 15 Oct 1999 first online: 03 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation JODIE E. SMITH, HENRY P. SCHWARCZ, MICHAEL J. RISK, TED A. McCONNAUGHEY, NATALIA KELLER; Paleotemperatures From Deep-Sea Corals: Overcoming 'Vital Effects'. PALAIOS 2000;; 15 (1): 25–32. doi: https://doi.org/10.1669/0883-1351(2000)015<0025:PFDSCO>2.0.CO;2 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyPALAIOS Search Advanced Search Abstract Thirty-five azooxanthellate (non-photosynthetic) corals belonging to 18 species were collected at sites ranging from the Norwegian Sea to the Antarctic and of depths ranging from 10 to 5220 m. All specimens showed distinct, well-defined linear correlations between carbonate oxygen and carbon isotopic composition, with slopes ranging from 0.23 to 0.67 (mean 0.45 ± 0.9) and linear correlation r2 values that averaged 0.89. These pronounced isotopic disequilibria have, to date, rendered azooxanthellate corals unsuitable for use in paleothermometry. Most, but not all, of the heaviest skeletal δ18O values reached or approached equilibrium. If the isotopically-heavy ends of the δ18O vs δ13C regression lines reliably approximated isotopic equilibrium with seawater, these values could be used to estimate the temperature of the water in which the coral grew. The δ13C values of the heavy ends of each line, however, were always depleted compared to carbon isotopic equilibrium with ambient bicarbonate by varying amounts.Despite the disequilibria, a reliable method for obtaining paleotemperature data was obtained. It was found that, if a δ18O vs δ13C regression line from an individual coral could be generated, the δ18Oarag value corresponding to δ13Carag = δ13Cwater and corrected for δ18Owater was a linear function of temperature: δ18O = −0.25 T(°C) + 4.97. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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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)0.001
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.120
Threshold uncertainty score0.400

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1200.018

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 head0.005
GPT teacher head0.215
Teacher spread0.210 · 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

Citations97
Published2000
Admission routes3
Has abstractyes

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