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Enregistrement W6976862338 · doi:10.6068/dp156f603fbb465

Trend 1993 - 2004. United Nations Economic Commission for Europe. Transport Statistics [Archive]: Road Traffic Accidents in Built-up Areas Involving Personal Injury | Country: Switzerland | Selection 1: Killed | Selection 2: Single vehicle accidents, 1993-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-004-011.

2016· other· en· W6976862338 sur OpenAlexaboutno aff

Notice bibliographique

RevueData Planet · 2016
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPedestrianCommissionCollisionSelection (genetic algorithm)Road accidentOfficial statisticsCrashPoison controlPersonal injury

Résumé

récupéré en direct d'OpenAlex

United Nations Economic Commission for Europe (2016). Transport Statistics [Archive]: Road Traffic Accidents in Built-up Areas Involving Personal Injury | Country: Switzerland | Selection 1: Killed | Selection 2: Single vehicle accidents, 1993-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 054-004-011. Dataset: Shows fatal and other accidents in built-up areas, by accident type. The Transport Statistics database includes data on road safety, transport by road and rail, inland water traffic, oil pipelines, transport infrastructures, and railway employment. Data are provided, as available, for the 56 member states of the United National Economic Commission on Europe (UNECE) region, which include the countries of Europe, but also Canada, the United States, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, and Israel. The data are compiled by the Statistical Division of the UNECE Secretariat from different official national and international sources. NOTE: Data-Planet discontinued updating of this dataset in 2011 due to irregularities in the data structure. For more recent data on similar topics, please see the Eurostat database. Accidents between vehicle and pedestrian: Accidents involving one or several vehicles and pedestrians irrespective of whether the pedestrian was involved in the first or a later phase of the accident and of whether the pedestrian was injured or killed on or off the road. Single vehicle accidents: Accidents involving no collision with other road users, even though they may be involved, i.e. vehicle trying to avoid collision and veering off the road, or accident caused by collision with obstructions or animals on the road. Collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Accidents between vehicles: Remainder of Accidents between vehicle and pedestrian and Single vehicle accidents. Rear-end collision: Accident caused by a rear-end collision with another vehicle using the same lane of a carriageway and moving in the same direction or temporarily stopping due to the traffic conditions. Rear end collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Collision due to crossing or turning: Accident caused by a rear-end or head on collision with another vehicle moving in a lateral direction due to leaving or entry from/to another lane, road or premise. Rear end or head on collisions with vehicles waiting to turn belong to either Rear-end collision or Head on collision.Head on collision: Accident caused by a head on collision with another vehicle using the same lane of a carriageway and moving in the opposite direction or temporarily stopping due to traffic conditions. Head on collisions with parked vehicles belong to Other collision, including collision with parked vehicles. Other collision, including collision with parked vehicles: Accident caused by driving side by side, while overtaking each other or when changing lanes (cutting in on someone), or by a rear-end or head-on collision with a stationary vehicle which stops or parks deliberately and not as a result of traffic conditions at the edge of a carriageway, on shoulders, on marked parking spaces, on footpaths or parking sites. Category: Transportation and Traffic Source: United Nations Economic Commission for Europe The United Nations Economic Commission for Europe (UNECE) was established in 1947 as one of the five regional economic commissions of the United Nations. Its major aim is to promote pan-European economic integration. To do so, UNECE brings together 56 countries located in the European Union, non-EU Western and Eastern Europe, South-East Europe and Commonwealth of Independent States (CIS) and North America. All these countries dialogue and cooperate under the aegis of the UNECE on economic and sectoral issues. http://www.unece.org/ Subject: Traffic Fatalities, Traffic Accidents

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,191
Score d'incertitude au seuil0,381

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,013
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0060,021
Études des sciences et des technologies0,0010,000
Communication savante0,0030,003
Science ouverte0,0030,002
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0750,087

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,034
Tête enseignante GPT0,293
Écart entre enseignants0,260 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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