Patient With Type 1 Distal Renal Tubular Acidosis Secondary to Sjogren’s Syndrome Presented With Hypokalemic Paralysis
Bibliographic record
Abstract
Hypokalemia is described as serum potassium level below 3.5 mEq/L. The most common causes of hypokalemia are potassium loss from urinary tract, gastrointestinal system and loss through sweating, although decreased potassium intake and increased intracellular translocation may also cause hypokalemia. Severe hypokalemia may affect both cardiovascular and neuromuscular systems and can be life threatining. In the present report, we aimed to present a 47-year-old female patient admitted with paralysis secondary to hypokalemia, who was later diagnosed with distal type 1 renal tubular asidosis (RTA) secondary to Sjogren’s syndrome (SS). J Med Cases. 2015;6(6):268-270 doi: https://doi.org/10.14740/jmc2139w
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".