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Dissertation Abstracts

2017· dataset· de· W4234506901 on OpenAlexaboutno aff
Georg Ch. Pflug

Bibliographic record

VenueLexikon des gesamten Buchwesens Online · 2017
Typedataset
Languagede
FieldEngineering
TopicInnovative Microfluidic and Catalytic Techniques Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceMicroformHumanitiesPolitical scienceEngineeringArtComputer science

Abstract

fetched live from OpenAlex

Die von der University Microfilms in Ann Arbor (Michigan) hrsg. periodische Publikation verzeichnet die von dieser Firma auf Mikrofilm beziehbaren Dissertationen. Bei der Gründung 1938 nahmen fünf amerikanische Univ. an diesem Unternehmen teil (Michigan, Nebraska, Princeton, Stanford und Toronto). Der ursprüngliche Titel lautete Microfilm Abstracts. 1952 wurde er in Dissertation Abstracts, 1972 in Dissertation Abstracts International geändert. Entsprechend änderte sich auch Umfang und Zielsetzun…

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)0.007
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.861
Threshold uncertainty score0.466

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.007
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1390.210

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 head0.029
GPT teacher head0.332
Teacher spread0.303 · 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
GenreDataset

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

Citations2
Published2017
Admission routes1
Has abstractyes

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Same venueLexikon des gesamten Buchwesens OnlineSame topicInnovative Microfluidic and Catalytic Techniques InnovationFrench-language works237,207