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Record W2955203835 · doi:10.1177/0301006618824879

41st European Conference on Visual Perception (ECVP) 2018 Trieste

2019· article· en· W2955203835 on OpenAlexaff

Bibliographic record

VenuePerception · 2019
Typearticle
Languageen
FieldEngineering
TopicImage Processing Techniques and Applications
Canadian institutionsCentre for Movement Disorders
FundersNederlandse Organisatie voor Wetenschappelijk Onderzoek
KeywordsPerceptionPsychologyGeographyPolitical scienceNeuroscience

Abstract

fetched live from OpenAlex

According to Hommel’s theory, motor system partially mediates action perception by simulating or embodying observed actions. Previous studies failed to demonstrate motor repertoire compatibility effects, probably because the point light walker (PLW) stimuli used were recorded only from healthy people, and showed that sensitivity to biological motion may be reduced in Parkinson’s disease (PD) with motor dysfunction. We hypothesize that perceptual ability in PD patients could be improved by watching PLWof patients with the same disease condition. Two groups of participants (24 healthy and 33 patients with PD) underwent to a gender recognition task with PLW stimuli obtained from healthy and PD actors. The results show a better sensitivity to biological motion in females than males. Moreover, gender recognition has been worsened by watching parkinsonian PLW. Our data do not show a compatibility effect, neither confirm previous data about an impaired perception of biological motion in PD patients.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.267
Threshold uncertainty score0.894

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0060.003
Open science0.0030.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.2670.141

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 head0.035
GPT teacher head0.273
Teacher spread0.238 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations15
Published2019
Admission routes1
Has abstractyes

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