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Record W4319601774 · doi:10.3389/fnbot.2023.1151062

Corrigendum: Small steps for mankind: Modeling the emergence of cumulative culture from joint active inference communication

2023· erratum· en· W4319601774 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in Neurorobotics · 2023
Typeerratum
Languageen
FieldSocial Sciences
TopicLanguage and cultural evolution
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersNederlandse Organisatie voor Wetenschappelijk OnderzoekWellcome Trust
KeywordsComputer scienceJoint (building)InferenceArtificial intelligenceMachine learning

Abstract

fetched live from OpenAlex

Incorrect Funding5 In the published article, there was an error in the Funding statement with regards to the omission of6 the Wellcome Trust Principal Research Fellowship (KJF; Ref. 088130/Z/09/Z). The original text was:7 ”This research was undertaken thanks in part to funding from a NWO Research Talent Grant of the Dutch8 Government (CH; No. 406.18.535).” The correct Funding statement appears below.9 FUNDING10 This research was undertaken thanks in part to funding from a NWO Research Talent Grant of the Dutch11 Government (CH; No. 406.18.535) and by a Wellcome Trust Principal Research Fellowship (KJF; Ref.12 088130/Z/09/Z).13 The authors apologize for this error and state that this does not change the scientific conclusions of the14 article in any way. The original article has been updated.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.106
GPT teacher head0.329
Teacher spread0.223 · 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