Erratum to: Pseudopseudohypoparathyroidism With a Novel Mutation in the GNAS Gene Showing Thin Bones of Extremities and Ossification of Entheses
Bibliographic record
Abstract
In article: Hamasaki H, Mukaino T, Kaneko H, Mitsui T, Moriyama S, Hasegawa T, Yanai H. Pseudopseudohypoparathyroidism With a Novel Mutation in the GNAS Gene Showing Thin Bones of Extremities and Ossification of Entheses. J Endocrinol Metab. 2013;3(6):150-152. The authors wish to make the following corrections. In the section of Case Report, Discussion and Figure 3, we stated a novel mutation in exon 1 (c.137 T > G, L46P) of the GNAS gene. “c.137 T > G, L46P” is incorrect, and “c.137 T > C, L46P” is correct. Although expression of substitution of cDNA was incorrect, expression of substitution of amino acid (L46P) was correct, which means that this correction does not have a great influence on our result. We have provided corrected version of Figure 3. J Endocrinol Metab. 2014;4(4):118 doi: http://dx.doi.org/10.14740/jem235w
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 0.007 |
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".