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Record W1603085483

Un sistema sicuro per la gestione di eventi su larga scala basato su EGNOS: il Progetto SPESSS

2006· article· it· W1603085483 on OpenAlexaff
Luigi Mazzucchelli, Marco Bonfanti, Antonio Casoria

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2006
Typearticle
Languageit
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

La gestione di eventi straordinari, quali possono essere i Giochi Olimpici, richiede una elevata capacità di coordinare e di gestire i problemi di mobilità e di sicurezza generati dall’aumento dei flussi veicolari e di persone che si generano in coincidenza di tali eventi. In questi casi, come in occasione di interventi di larga scala sul territorio, è richiesta una sempre maggiore attenzione al rispetto ed all’integrazione dei bisogni specifici generati dall’evento con le necessità della popolazione residente nel luogo in cui si svolge tale evento.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0080.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0590.000

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 head0.166
GPT teacher head0.521
Teacher spread0.355 · 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 teacher head, not a consensus.

Study designObservational
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
Published2006
Admission routes1
Has abstractyes

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