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Record W4391013696

Assessment of visual mental imagery abilities in autism

2024· preprint· en· W4391013696 on OpenAlexaff
Clara Bled, Quentin Guillon, Laurent Mottron, Isabelle Soulières, Lucie Bouvet

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2024
Typepreprint
Languageen
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsUniversité du Québec à MontréalUniversité de Montréal
FundersAgence Nationale de la Recherche
KeywordsMental imageAutismPsychologyCognitive psychologyCreative visualizationDevelopmental psychologyVisualizationCognitionComputer scienceArtificial intelligenceNeuroscience
DOInot available

Abstract

fetched live from OpenAlex

This document is a preprint and has not yet been peer-reviewed.Therefore, the data presented here should not be considered conclusive or be used in clinical practice or referenced as validated information.Ce document est une pré-publication et n'a pas encore été relu par des pairs.Par conséquent, les données présentées ici ne doivent pas être considérées comme concluantes ou être utilisées dans une pratique clinique ou bien référencées comme étant une information validée.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.331
Teacher spread0.311 · 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 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".

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Citations0
Published2024
Admission routes1
Has abstractno

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