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Record W6959962253 · doi:10.13127/bsi/201802

Bollettino Sismico Italiano (BSI), II quadrimestre 2018

2019· dataset· en· W6959962253 on OpenAlexaboutno aff

Bibliographic record

VenueIstituto Nazionale di Geofisica e Vulcanologia (INGV) · 2019
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Mapping and Diversity in Plants and Animals
Canadian institutionsnot available
Fundersnot available
KeywordsMagnitude (astronomy)Sequence (biology)EpicenterSeismic zonePeriod (music)Quarter (Canadian coin)

Abstract

fetched live from OpenAlex

Italian Seismic Bulletin (BSI), Second quarter 2018, version 1.0. In this issue we publish the earthquakes that occurred in Italy in the period May - August 2018; they include the events belonging to the seismic sequence started on August 24, 2016 in central Italy, with the earthquake of Amatrice (Magnitude 6), called sequence of Amatrice-Visso-Norcia (AVN in the following). The BSI Working Group reviewed all earthquakes of magnitude M>=2.3 belonging to AVN, and all earthquakes of magnitude M>=1.5 occurred in other Italian areas. This issue includes a total of 8674 earthquakes, of which 5225 belong to the AVN sequence. 108 of them have magnitude M>=2.3 and 1 have magnitude M >=3.5. This BSI publication includes 33737 P phases and 23695 S phases; these include 14227 P phases and 11165 S phases generated by the AVN sequence. The data were recorded by 470 stations belonging to the Italian National Seismic Network, managed by the National Institute of Geophysics and Volcanology (INGV), and to other regional and international networks managed by different providers. The localizations and phases of the Italian Seismic Bulletin are available on a quarterly basis in Quakeml format at http://terremoti.ingv.it/bsi but are also available, since 1985 to the present, in the ISIDe database at http://terremoti.ingv.it/.

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)0.002
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: none
Teacher disagreement score0.170
Threshold uncertainty score0.569

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1700.144

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 head0.239
Teacher spread0.222 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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