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Record W7094417786

USE OF FRESHWATER PONDS BY WHOOPING CRANES DURING A DROUGHT\nPERIOD

2016· article· W7094417786 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInsecta mundi · 2016
Typearticle
Language
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsWildlifeHabitatWildlife refugeGrus (genus)TRIPS architectureFish <Actinopterygii>Range (aeronautics)Wetland
DOInot available

Abstract

fetched live from OpenAlex

Whooping cranes (Grus americana) spend nearly half their annual cycle in coastal habitats within and around the Aransas National Wildlife Refuge Complex (ANWRC) located in the central portion of the Texas Coast. When drought conditions prevail in their winter range and salinities in the local bays exceed 23 parts per thousand (ppt), whooping cranes must seek alternate sources of dietary drinking water (Stehn 2008, Chavez- Ramirez and Wehtje 2012). They begin frequent (often daily) trips to freshwater sources in upland areas. These trips may result in extra energy expenditures that can impact their overall health and ability to store energy for spring migration (Canadian Wildlife Service and U.S. Fish and Wildlife Service 2007). We opportunistically used game camera images obtained from a physiological research project (B. Hartup, unpublished data) to gain additional information on how whooping cranes used refuge-managed freshwater resources in relation to prevailing environmental conditions.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.029
GPT teacher head0.250
Teacher spread0.221 · 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