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Record W2985752563 · doi:10.7554/elife.27576.040

Author response: The large-scale organization of shape processing in the ventral and dorsal pathways

2017· peer-review· en· W2985752563 on OpenAlexaff
Erez Freud, Jody C. Culham, David C. Plaut, Marlene Behrmann

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldMathematics
TopicMorphological variations and asymmetry
Canadian institutionsWestern University
Fundersnot available
KeywordsDorsumPerceptionVision for perception and vision for actionNeuroscienceVisual systemSimilarity (geometry)NeuroimagingCognitive sciencePsychologyVisual perceptionVisual cortexComputer scienceBiologyArtificial intelligenceAnatomyImage (mathematics)

Abstract

fetched live from OpenAlex

Functional neuroimaging reveals sensitivity to shape information and correlation between brain activation and perceptual behaviour in both dorsal and ventral visual pathways, thereby challenging the strict binary distinctions between the two pathways.

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)0.002
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.342
Threshold uncertainty score0.939

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.3420.140

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 head0.084
GPT teacher head0.353
Teacher spread0.269 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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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