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Record W2530955115 · doi:10.1038/sdata.2016.87

Long-term, high frequency in situ measurements of intertidal mussel bed temperatures using biomimetic sensors

2016· article· en· W2530955115 on OpenAlexaff
Brian Helmuth, Francis Choi, Allison Matzelle, Jessica L. Torossian, Scott L. Morello, K. A. S. Mislan, Lauren Yamane, Denise Strickland, P. Lauren Szathmary, Alyson Tockstein, Thomas J. Hilbish, Michael T. Burrows, Anne Power, Elizabeth Gosling, Nova Mieszkowska, Christopher D. G. Harley, Michael T. Nishizaki, Emily Carrington, Bruce A. Menge, Laura E. Petes, Melissa M. Foley, Angela Johnson, Megan L. Poole, Mae M. Noble, Erin L. Richmond, Matt Robart, Jonathan Robinson, Jerod Sapp, Jackie Sones, Bernardo R. Broitman, Mark W. Denny, Katharine J. Mach, Luke P. Miller, Michael J. O’Donnell, Philip M. Ross, Gretchen E. Hofmann, Mackenzie L. Zippay, Carol A. Blanchette, Jennifer Macfarlan, Eugenio Carpizo‐Ituarte, Benjamin I. Ruttenberg, Carlos Mejía, Christopher D. McQuaid, Justin A. Lathlean, Cristián J. Monaco, Katy R. Nicastro, Gerardo I. Zardi

Bibliographic record

VenueScientific Data · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsUniversity of British Columbia
FundersNatural Environment Research CouncilNational Research FoundationNational Oceanic and Atmospheric AdministrationSight Research UKNational Aeronautics and Space AdministrationDavid and Lucile Packard FoundationNational Geographic SocietyNational Science Foundation
KeywordsIntertidal zoneEctothermMusselEnvironmental scienceHabitatData loggerIntertidal ecologyOceanographyAtmospheric sciencesEcologyBiologyGeology

Abstract

fetched live from OpenAlex

At a proximal level, the physiological impacts of global climate change on ectothermic organisms are manifest as changes in body temperatures. Especially for plants and animals exposed to direct solar radiation, body temperatures can be substantially different from air temperatures. We deployed biomimetic sensors that approximate the thermal characteristics of intertidal mussels at 71 sites worldwide, from 1998-present. Loggers recorded temperatures at 10-30 min intervals nearly continuously at multiple intertidal elevations. Comparisons against direct measurements of mussel tissue temperature indicated errors of ~2.0-2.5 °C, during daily fluctuations that often exceeded 15°-20 °C. Geographic patterns in thermal stress based on biomimetic logger measurements were generally far more complex than anticipated based only on 'habitat-level' measurements of air or sea surface temperature. This unique data set provides an opportunity to link physiological measurements with spatially- and temporally-explicit field observations of body temperature.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.743

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.085
GPT teacher head0.284
Teacher spread0.199 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations98
Published2016
Admission routes1
Has abstractyes

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