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Record W1494347068 · doi:10.1002/jbmr.3582

Endogenous Parathyroid Hormone–Related Protein Compensates for the Absence of Parathyroid Hormone in Promoting Bone Accrual In Vivo in a Model of Bone Marrow Ablation

2018· erratum· en· W1494347068 on OpenAlexaff
Qi Zhu, Xichao Zhou, Min Zhu, Qian Wang, David Goltzman, Andrew C. Karaplis, Dengshun Miao

Bibliographic record

VenueJournal of Bone and Mineral Research · 2018
Typeerratum
Languageen
FieldMedicine
TopicThyroid and Parathyroid Surgery
Canadian institutionsMcGill University
Fundersnot available
KeywordsParathyroid hormone-related proteinConfusionParathyroid hormoneMedicineCalcium-sensing receptorRegretEndocrinologyInternal medicinePathologyCalciumPsychologyComputer sciencePsychoanalysisMachine learning

Abstract

fetched live from OpenAlex

A reader of the JBMR informed the editors about concern regarding two figures in the article Zhu and colleagues.1 In consultation with the Committee on Publication Ethics (COPE) guidelines, the editors sought an explanation from the authors. In Zhu and colleagues1 the authors acknowledge an error made in Fig. 3A by including the original 4,6-diamidino-2-phenylindole (DAPI) and TUNEL microscopic fields for the 1-week and 2-week images (not 2-week and 4-week). The authors provided a corrected version of Fig. 3, which contains images that are representative of the results shown in the graph, where the percentage of TUNEL+ cells is quite different at 1 and 2 weeks in WT mice. In Zhu and colleagues1 the authors also acknowledge an error made in Fig. 5G, by including the original calcium sensing receptor (CaSR)-positive microscopic fields for the 5-day and 1-week images. The authors were able to locate an alternative image showing WT at 5 days. The amended Fig. 5 contains an image of CaSR immunohistochemistry in WT mice that still clearly distinguishes CaSR immunopositive cells at 5 days in WT and PTH–/– mice as shown in the graph. Both revised figures appear below, and the authors regret any confusion and inconvenience this may have caused the readers of the JBMR. Fig. 3 Fig. 5

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 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)0.010
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
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 head0.080
GPT teacher head0.335
Teacher spread0.254 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations8
Published2018
Admission routes1
Has abstractyes

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