Using metalloproteomics to investigate the cellular physiology of copper in hepatocytes
Bibliographic record
Abstract
Proteomics is a systems biology approach for examining proteins and their function in a given specified system. Metalloproteomics narrows the focus of proteomics to those proteins which bind a metal or are metalloproteins. An important system where metalloproteomics can be applied is the hepatocyte, the liver's parenchymal cell engaged in protein synthesis, nutrient deployment, and drug biotransformation. Hepatocellular metalloproteomics is an exciting new scientific discipline which has already advanced our understanding of certain genetic and neoplastic liver disorders. It has the potential to elucidate the action of numerous metals in hepatocytes and generate new diagnostic parameters, namely, novel biomarkers. Metalloproteomics is a systems biology approach for identifying large sets of proteins associated with metals and analyzing their regulation, modification, interaction, structural assembly, and function as well as their involvement in physiological processes (including development) and in disease states.
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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 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".