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Record W7083853947

German economy shrinks for the first time since early 2015

2018· other· en· W7083853947 on OpenAlexaboutno aff

Bibliographic record

VenueInternet Archive (Internet Archive) · 2018
Typeother
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsGerman economyEconomic shortageGermanChristian ministryQuarter (Canadian coin)Agency (philosophy)Job lossFell
DOInot available

Abstract

fetched live from OpenAlex

Germanyâs economy shrank slightly in the third quarter of 2018, the first quarterly decline since early 2015, due to declining exports and bottlenecks in getting new cars certified under tougher emissions tests. Germanyâs economy shrank for the first time since 2015 because of declining exports and tougher emissions test regulations.The Federal Statistical Office reported Wednesday that economic output fell by 0.2 percent in the third quarter.The agency said exports were down and imports were up in the third quarter, meaning there was a net drag coming from trade compared with the previous three-month period.The economy ministry noted that major automakers including Daimler and Volkswagen had difficulty getting new cars certified under tougher emissions testing standards. That led them to discount cars ahead of the Sept. 1 test deadline, and caused a shortage of cars to sell.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.009

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 head0.017
GPT teacher head0.282
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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