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Record W7038701308

IVH Insights, January 1, 2104

2014· other· en· W7038701308 on OpenAlexfundno aff

Bibliographic record

VenueIowa Publications Online (State Library of Iowa) · 2014
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
FundersMcGill University
KeywordsDiseaseIncidence (geometry)Blood pressureRespiratory systemNeonatal intensive care unit
DOInot available

Abstract

fetched live from OpenAlex

MARSHALLTOWN) -Jodi Tymeson, Commandant of the Iowa Veterans Home, today announced Michael Jarrell will begin his duties as the Chief Operating Officer on January 3. "Mike has been licensed in Iowa since 1994, and he brings over 16 years of Iowa nursing home administration experience to the IVH team." said Tymeson."He will be instrumental in leading our team and contributing to our commitment to become the best State Veterans Home in the nation."Jarrell earned a B.A. in Marketing at the University of Northern Iowa, and his Long Term Care Administrator Certificate at DMACC.He worked as a purchasing director for 12 years prior to his nursing home experience."I believe the mission of care for those in our charge is of highest priority." said Jarrell."Efforts by all divisions will go to the quality of life for our residents.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.512
Threshold uncertainty score0.695

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5120.349

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 head0.015
GPT teacher head0.237
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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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