MétaCan
Menu
Back to cohort
Record W4288985740

Trajectoires de décarbonation profonde du transport de marchandises en France

2019· preprint· fr· W4288985740 on OpenAlexaff
Yann Briand, Johannes Svensson, Martin Koning, François Combes, Gwenaelle Lamy, Prabodh Pourouchottamin, Jean-Michel Cayla, Julien Lefèvre

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2019
Typepreprint
Languagefr
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsMinistère des Transports
Fundersnot available
KeywordsCarbonationPolitical scienceHumanitiesArtChemistry
DOInot available

Abstract

fetched live from OpenAlex

Ce document constitue le « rapport descriptif » des scénarios de décarbonation profonde du transport de marchandises en France à l'horizon 2050. Il s'adresse aux différents acteurs de la société qui souhaiteraient découvrir deux histoires cohérentes des principales transformations (sociétales, organisationnelles, technologiques et politiques) menant à la décarbonation de ce secteur ainsi que leurs effets sur un ensemble de dimensions comme le nombre de tonnes transportées, la part du rail, les circulations des véhicules routiers, la demande d'énergie finale ou la place des différents vecteurs énergétiques. Il sera prochainement complété par un « rapport technique » détaillant les hypothèses sous-jacentes prises en compte.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.735
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.192
Teacher spread0.181 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueHAL (Le Centre pour la Communication Scientifique Directe)Same topicUrban and Freight Transport LogisticsFrench-language works237,207