Erratum: “Far-infrared to Millimeter Data of Protoplanetary Disks: Dust Growth in the Taurus, Ophiuchus, and Chamaeleon I Star-forming Regions” (2017, ApJ, 849, 63)
Bibliographic record
Abstract
Supporting material: tar.gz files, machine-readable table Three ChamaeleonI sources (Hn11, T45a, and WYCha) were mislabeled in the published article, which resulted in their names, stellar parameters, extinction values, infrared slopes, and silicate feature properties being assigned to incorrect coordinates.Because the photometry and spectroscopy presented in the published article are coordinate-based, the provided spectral energy distributions and spectra were also mislabeled: the data files labeled Hn11 in the published article correspond to T45a, those labeled T45a correspond to WYCha, and those labeled WYCha correspond to Hn11.The only error in the text of the published article is in Table 15, in which the Herschel photometry of WYCha was wrongly attributed to T45a.The corrected entry in Table 15 is presented here.Additionally, due to a mislabeling issue in Manoj et al. (2011), the source labeled UXCha is actually CHSM 8284.Therefore, stellar parameters and photometry labeled UX Cha in our published article correspond to CHSM 8284.These issues have been corrected in the machinereadable table of Table 15 and the online data products seds.tar.gz and irs.tar.gz(spire.tar.gzremains unchanged), as well as in the Zenodo repository (doi:10.5281/zenodo.889053).The results and conclusions of the published article are not affected.We thank Dr. Claire Davies for bringing this issue to our attention
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.077 | 0.065 |
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".