Author Response to McKean, Vande Voort, and Croarkin (2016)
Bibliographic record
Abstract
We are grateful for the comment from McKean et al on our article reporting on anxiety and depression among a group of socially transitioned, prepubescent transgender children ages 3 to 12 years.1 Although we have additional research in progress that can better speak to some of their concerns (eg, the focus in the first article on parental reports), we are able to provide additional information from the Pediatrics data set to address their 2 major concerns: (1) the (high) socioeconomic status of our participants; and (2) the results with regard to the age distribution of our sample. First, McKean et al point out that our study focused on a “narrow socioeconomic sample,” or more specifically, that our sample was considerably wealthier than the average American or Canadian family. This issue is one we have discussed elsewhere,2 and we agree that it is a limit to the generalizability of our findings. To better understand this issue, we report our results according to socioeconomic group in Table 1. It is … E-mail: krolson{at}uw.edu
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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 | 0.005 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.028 | 0.035 |
| Insufficient payload (model declined to judge) | 0.015 | 0.013 |
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".