Bibliographic record
Abstract
Background: A 32-year-old Caucasian man presented with intractable nausea, psychogenic vomiting, abdominal pain and compulsive hot-water bathing behaviors following the habitual use of cannabis for years, consistent with the uncommon and frequently overlooked diagnosis of Cannabinoid Hyperemesis Syndrome. This was his third admission to the emergency department with the same complaints and symptoms which had persisted for over two years without a recognizable etiology. All imaging studies done on each visit were unremarkable.n Results: The patient was clinically symptomatic with the aforementioned presenting complaints, but disappeared upon discontinuation of the cannabis. Within two days of supportive treatment in addition to temporary relief of symptoms with bathing. To date, noeffective cure has been sought for this unique diagnosis other than abstaining from cannabis use. Conclusion: A complete recovery was made three days following admission. The presenting symptoms were attributed to the smoking behaviors. The patient was followed up by his primary care physician once released from the hospital. A very rare diagnosis surfaced a number of times with the same patient in the same setting over the span of a couple years, but was overlooked due to its rarity. Hence, physicians should list it higher on their differentials when dealing with a patient with a history of drug abuse.
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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) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".