Bibliographic record
Abstract
Charles Weijer reviews the website www.medicineonline.com, where cosmetic surgeons bid for customers I worry of late that I am not as good looking as I used to be. I stopped exercising about a year ago after a move into the country. The bucolic setting disagrees with me. This week I turn 36 years old. But these aren't the bases for my complaint. The problem is that time has treated me more cruelly than similarly situated others. The rest of my birth cohort seems filled with vim and vigour. I, on the other hand, am fleshy, pallid, and prone to fits of profuse perspiration. This year I vow to do something about it. My first stop is my general practitioner, the best doctor I have ever had. “Stewart,” I say, “this is the year I do it; tell me where I should start.” He reminds me of visits around this date in the past three years, when he talked me out of trying Prozac (1997), Viagra (1998), and an all-protein diet (1999). “I am …
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".