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Record W4317106347 · doi:10.3389/fneur.2023.1136965

Erratum: The polish version of the Alberta Infant Motor Scale: Cultural adaptation and validation

2023· erratum· en· W4317106347 on OpenAlexaboutno aff

Bibliographic record

VenueFrontiers in Neurology · 2023
Typeerratum
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsScale (ratio)Adaptation (eye)PsychologyCognitive psychologyPhysical medicine and rehabilitationNeuroscienceGeographyCartographyMedicine

Abstract

fetched live from OpenAlex

An erratum on: Eliks M, Sowińska A and Gajewska E (2022) The Polish Version of the Alberta Infant Motor Scale: Cultural Adaptation and Validation. Front. Neurol. 13:949720. doi: 10.3389/fneur.2022.949720Due to a production error, the wrong ethics statement was used. The correct statement is found below: ‘’Ethics StatementThe study was reviewed and approved by Poznan University of Medical Sciences Bioethics Committee (approval no. 1034/19). Written informed consent to participate in this study was provided by a participant’s parent or caregiver.’’The publisher apologizes for this mistake. 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.

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)0.005
metaresearch head score (Gemma)0.075
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.075
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0280.025

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 head0.011
GPT teacher head0.233
Teacher spread0.222 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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