Medicinal Inorganic Chemistry: Continuum of Dose versus Response—From Deficiency through Optimal Intake to Toxicity
Bibliographic record
Abstract
Abstract Metal‐ion essentiality is not a static concept. Over the course of the last several decades, essentiality has been redefined to broaden the definition beyond “necessary to support human life” to include “having a defined biochemical function.” The main effect of this redefinition has been to restrain the addition of additional ultratrace elements, present in the human body, but not clearly required in a specific amount in the daily nutrient intake, to the ever‐expanding list of known essential elements. Essential metal ions are associated not only with recognizable deficiency symptoms under conditions of inadequate intake but also with existing homeostatic mechanisms that regulate absorption, distribution, storage, and excretion of the metal‐ion in vivo. The Bertrand diagram is a schematic representation of the range of essential metal‐ion intake consistent with optimal nutrient intake, bounded on the lower intake range by deficiency symptoms and on the upper intake end, by increasingly severe toxicity symptoms. The continuum of dose versus response includes both tails of this spectrum for all essential metal ions. Not all metal ions are the same: each has an appropriate “window of optimal intake” whose width and concentration ranges vary widely from one metal ion to the other.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".