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Record W6943737054 · doi:10.17026/ar/yacfwe

Archeologisch onderzoek Fietsbrug A12 te Bunnik

2024· dataset· nl· W6943737054 on OpenAlexaff

Bibliographic record

VenueDANS Data Station Archaeology · 2024
Typedataset
Languagenl
FieldEnergy
TopicEnergy, Environment, Agriculture Analysis
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsStatistical analysisSocial lifeAgricultural development

Abstract

fetched live from OpenAlex

In opdracht van Nebest bv is door Greenhouse Advies bv voorliggend archeologisch bureauonderzoek opgesteld voor het plangebied Fietsbrug A12 te Bunnik. Aanleiding voor het onderzoek is de voorgenomen vervanging van de bestaande brug over de snelweg. Het plangebied en de directe omgeving bestaat uit rivierafzettingen van de Oude Rijn. De bodem betreft kalkloze poldervaaggronden. De aanleg en verbreding van de snelweg A12 heeft naar verwachting de grootste invloed gehad op het eventueel aanwezige bodemarchief binnen het plangebied. Op basis van het bureauonderzoek geldt voor het plangebied een middelhoge archeologische verwachting voor de periode late Nieuwe Steentijd tot de Nieuwe tijd. Oudere perioden hebben een lage archeologische verwachting omdat deze gronden naar verwachting al zijn geërodeerd door de latere Oude Rijn.

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)0.005
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.112
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.009
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0500.049

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 head0.027
GPT teacher head0.284
Teacher spread0.257 · 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
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

Citations0
Published2024
Admission routes1
Has abstractyes

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