Urinary levels, tissue concentrations and lung inflammation after nose‐only exposure to three different chemical forms of beryllium
Bibliographic record
Abstract
This study aimed to determine the toxicity and toxicokinetic of three Be chemical species A total of 120 mice (four groups of 30) were nose-only exposed. The first group was used as a control while the three others were exposed to 250 microg m(-3) of fine particles of three different Be species (Be metal, Be-F; Be oxide, BeO-F; Be aluminium, BeAl-F). Exposure lasted over three consecutive weeks, five days per week and 6 h per day. Blood and several tissues were collected one week after exposure. Urines were collected before the beginning of exposure, at the end of every week of exposure and one week after exposure. Results showed that urine concentrations were different from one Be species to another and that excretion continued after the end of exposure. Except for BeO-F, where Be urine concentrations were stable during the three weeks of exposure, concentrations of Be-F and BeAl-F reached a peak after the first week. According to particle size, BeO-F obtained the highest theoretical pulmonary deposition rate, which partially led to the highest Be lung concentration. This group also presented the lowest urine concentration but that did not lead to more severe lung inflammation. Moreover, even if BeAl-F obtained the lowest percentage theoretical pulmonary deposition, it showed the highest Be urinary concentration, the lowest Be lung concentration and the lowest lung toxicity. In this specific case, a high Be concentration in urine did not reflect a high exposure or a severe toxic effect.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".