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Record W6965099566 · doi:10.3205/23gmds170

Verfahren zur Übermittlung von Krankenkassendaten und deren Verknüpfung mit anamnestischen Daten der LIFE Adult Kohortenstudie zwecks der Validierung

2023· article· de· W6965099566 on OpenAlexaff

Bibliographic record

VenueGerman Medical Science (German Research Foundation) · 2023
Typearticle
Languagede
FieldEnvironmental Science
TopicEcology and biodiversity studies
Canadian institutionsPopulation Health Research Institute
Fundersnot available
KeywordsMedical screeningMEDLINEQuality of life (healthcare)Ultrasonography

Abstract

fetched live from OpenAlex

Einleitung: In der bevölkerungsbasierten LIFE-Adult-Studie wurden von 2011 bis 2014 10.000 Erwachsene im Alter von 18 bis 79 Jahren aus Leipzig eingeschlossen und einem umfangreichen Untersuchungs- und Befragungsprogramm unterzogen. Um Informationen über neu aufgetretene Erkrankungen zu erhalten, [zum vollständigen Text gelangen Sie über die oben angegebene URL]

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)0.154
metaresearch head score (Gemma)0.473
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: Empirical · Consensus signal: none
Teacher disagreement score0.154
Threshold uncertainty score0.813

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1540.473
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0130.011
Science and technology studies0.0020.002
Scholarly communication0.0090.006
Open science0.0040.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0380.013

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 head0.078
GPT teacher head0.403
Teacher spread0.325 · 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
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
Published2023
Admission routes1
Has abstractyes

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