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Record W7015574891

Système d’information géographique intérieur 3D pour les services d’urgence

2017· other· fr· W7015574891 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge UdeS (Institutional Deposit of the University of Sherbrooke) · 2017
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsLafora diseasePilotageContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Les autorités doivent intervenir le plus rapidement possible dans des situations imprévues et soudaines qui menacent la sécurité des personnes et l’intégrité des biens. L’objectif du projet est de réaliser un modèle de réseau 3D pour l’immeuble Jean-Charles Côté de la Ville de Sherbrooke et de présenter l’information dans un système d’information géographique. Ce modèle est réalisé dans l’objectif d’apporter de l’information géographique critique en cas d’intervention et d’effectuer des analyses d’itinéraires à partir d’un réseau de lignes de déplacement intérieur. Le modèle est entièrement conçu dans le système ESRI, à partir des plans CAO du Centre Jean-Charles Côté qui ont été fournis par la Ville de Sherbrooke. L’essai aborde également l’échange de données et les standards de partage de l’information géographique intérieure entre les systèmes d’information.

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)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.080
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.006
Science and technology studies0.0020.002
Scholarly communication0.0100.006
Open science0.0020.006
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0550.022

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 head0.011
GPT teacher head0.204
Teacher spread0.193 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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
Published2017
Admission routes1
Has abstractyes

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