Tryptophan for Treatment of Rapid-Cycling Bipolar Disorder Comorbid with Fibromyalgia
Bibliographic record
Abstract
Dr Fried man cor rectly draws our at tention to the long-term de vel op men tal effects of se lec tive se ro to nin reuptake in hib i tors (SSRIs) on breast-fed in fants (1).As Dr Misri ob serves at the end of her ar ti cle, these ef fects "re main unknown" (2).Dr Misri, how ever, re views the rel a tive safety of these com pounds on fe tal and early in fant de vel op ment.As she notes, the dan gers of no treat ment for moth ers with de pres sion in clude mater nal sui cide, im pair ments in the mother-child re la tion ship (as il lus trated in my let ter [3]) and break down of the spousal re la tion ship.Long-term risks to the fe tus, in clud ing de layed mo tor devel op ment, re duced growth, and a lower IQ, com pared with in fants whose mothers were suc cess fully treated for de pression, are also well re viewed by Dr Misri.Up-to-date in for ma tion to help pa tients eval u ate risks ver sus ben e fits are now avail able through such re sources as Mother Risk at the Hos pi tal for Sick Children in To ronto (416-813-6780; www.motherisk.org).While Dr Fried man's an i mal data are inter est ing, they are not con vinc ing as scien tific ev i dence of proven risk in hu mans.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.012 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".