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Record W16719771 · doi:10.2174/138945006776818683

Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013: Section 12 of NYSDEC Lake Ontario Unit annual report 2013

2014· article· en· W16719771 on OpenAlexaboutno aff
Brian C. Weidel, Michael J. Connerton

Bibliographic record

VenueCurrent Drug Targets · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSection (typography)Unit (ring theory)GeographyHydrology (agriculture)OceanographyFisheryEnvironmental scienceArchaeologyGeology

Abstract

fetched live from OpenAlex

The dietary group IIb metal zinc (Zn) plays essential housekeeping roles in cellular metabolism and gene expression. It regulates a number of cellular processes including mitosis, apoptosis, secretion and signal transduction as well as critical events in physiological processes as diverse as insulin release, T cell cytokine production, wound healing, vision and neurotransmission. Critical to these processes are the mechanisms that regulate Zn homeostasis in cells and tissues. The proteins that control Zn uptake and compartmentalization are rapidly being identified and characterized. Recently, the first images of sub-cellular pools of Zn in airway epithelium have been obtained. This review discusses what we currently know about Zn in the airways, both in the normal and inflamed states, and then considers how we might target Zn metabolism by developing strategies to monitor and manipulate airway Zn levels in airway disease.

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)0.001
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 score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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