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Record W7068851334

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2024· article· en· W7068851334 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2024
Typearticle
Languageen
FieldEngineering
TopicMineral Processing and Grinding
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodTSG101DysgeusiaLiquationDiafiltrationEmperipolesisTriacetinDurvalumab
DOInot available

Abstract

fetched live from OpenAlex

Shorebirds (Charadriiformes: Charadriidae, Recurvirostridae, and Scolopacidae) migrate through Tennessee enroute to their wintering grounds in South America and coastal U.S .and to their breeding grounds in northern U .S. and Canada.Of the 3 1 shorebirds that are discussed here, only the Killdeer (Charadrius vociferud and S p t d Sandpiper (Actitis muculariaj are known to nest in Tennessee.Suitable inland stopover sites are generally scarce with most migrants depending on the exposed shoreline of lakes and rivers.Spring rains begin to fill reservoirs in April, thereby eliminating the majority of this habitat during peak migration periods.Conversely, reservoir shorelines are usually not exposed until mid-October, after peak fall shorebird numbers have passed through.Consequently, inland areas suitable for resting and feeding of migrant shorebirds are very valuable.The Kingston Steam Plant (KSP), located near the confluence of the Clinch and Emory Rivers and about 5 km from Walden Ridge in Roane County, is one of the few sites in Tennessee where large numbers of migrant shorebirds stop with a high degree of predictability.Birds are attracted to the flats and open waters of the plant's 80 ha ash disposal area (Figure 1 ).The first published shorebird records for this site appeared in 1970 just three years after the ash disposal area was com- THE MlGRANT JUNE FIGURE I . Ash disposa

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.174
Teacher spread0.162 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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