Corrigendum: Joint Attention and Brain Functional Connectivity in Infants and Toddlers
Bibliographic record
Abstract
Cerebral Cortex, doi: 10.1093/cercor/bhw403. The original Supplementary file, ‘fcIJA_ROIs_Eggebrecht_2016.xlsx,’ contains Talairach and associated MNI coordinates and additional information for all of the 230 regions of interest (ROIs) used in the paper. This file included an error with the listed MNI-space coordinates for only the n=12 ROIs originating from the Philip et al. 2012 paper. All analyses and visualizations in the paper were conducted with the correct Talairach coordinates and there were no errors in the methods, data, results, figures, or conclusions. The updated Supplementary document, ‘fcIJA_Eggebrecht_2020.xlsx,’ contains the corrected listing of information for all ROIs. This correction will be helpful for anyone who has interest in carrying out analyses based on these ROIs using the listed MNI-coordinates.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.046 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.060 | 0.030 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".