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Record W7019095196

Evidence Update: Examining Options for Dialysis Services in Rural and Remote Newfoundland & Labrador

2013· report· en· W7019095196 on OpenAlexaboutno aff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2013
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodLiquationDiafiltrationTSG101HyporeflexiaFusible alloyDysgeusiaProteogenomics
DOInot available

Abstract

fetched live from OpenAlex

The Contextualized Health Research Synthesis Program produced a 2008 'Evidence in Context Report' on rural dialysis that posed the following research question: "In meeting the needs for dialysis services in rural and remote populations, what are the differences among the available treatment options with regards to efficacy/effectiveness, cost, acceptability, and feasibility in Newfoundland and Labrador?" The report found no persuasive evidence to suggest that any of the available modalities of dialysis service, including peritoneal dialysis and hemodialysis, is either more or less appropriate for either clinical or economic reasons in rural or remote populations in this province. Both types of dialysis are, in fact, complementary forms of renal replacement therapy, and home-based therapies were recommended as the primary option for rural and remote service provision. In late 2012, we conducted a review to confirm that the findings of our 2008 study remain both current and relevant.

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)0.023
metaresearch head score (Gemma)0.091
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.623
Threshold uncertainty score0.749

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.091
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0110.014
Science and technology studies0.0010.002
Scholarly communication0.0070.003
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.084
GPT teacher head0.314
Teacher spread0.229 · 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 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
Published2013
Admission routes1
Has abstractyes

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