Bibliographic record
Abstract
Directions: Each question or phrase is followed by 5 response options. Select the single BEST response. Th e whiteness of white gold is due to the inclusion of the following metals EXCEPT cadmium. nickel. palladium. titanium. zinc. Which gold alloy does not release gold? 14-carat gold 24-carat gold Jeweler’s gold white gold All of the above Which substance is the LEAST likely to cause systemic contact dermatitis to gold? coronary stents dental amalgams orbital implants orthopedic prostheses peroral supplements Which site is the LEAST likely for allergic contact dermatitis to gold? ears eyelids genitalia hands neck Common sources of isocyanates include adhesives. lacquers. textile fi nishes. None of the above All of the above Which food is the most common cause of oral allergy syndrome? cow’s milk eggs pork raw fruits seafood Which aeroallergen is associated with celery? birch grass mugwort ragweed All of the above Which substance is a significant source of methylisothiazolinone? dental amalgam textile fi nish wall paint All of the above None of the above Which allergen is the most relevant in patch-tested patients with lichenoid oral lesions linked to amalgam restorations? copper mercury nickel silver tin Answers to Self-Examination for Volume 26(2) of Dermatitis D. (Chen JK, Lampel HP. Dermatitis 2015;26(2):69–77.) C. (Chen JK, Lampel HP. Dermatitis 2015;26(2):69–77.) D. (Chen JK, Lampel HP. Dermatitis 2015;26(2):69–77.) C. (Chen JK, Lampel HP. Dermatitis 2015;26(2):69–77.) E. (Burrows D, Houle M-C, Holness DL, et al. Dermatitis 2015;26(2):94–98.) D. (Price A, Ramachandran S, Smith GP, et al. Dermatitis 2015;26(2):78–99.) E. (Price A, Ramachandran S, Smith GP, et al. Dermatitis 2015;26(2):78–88.) C. (Puangpet P, Chawarung A, McFadden JP. Dermatitis 2015;26(2):99–102.) B. (Lynch M, Ryan A, Galvin S, et al. Dermatitis 2015;26(2):89–93.)
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.154 | 0.067 |
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".