EASL International Consensus Conference on Haemochromatosis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The precise frequency of the different iron overload states due to haemochromatosis (HC) is unknown and need to be addressed in population studies ( 1. Bacon BR Powell LW Adams PC Kresina TF Hoofnagle JH Molecular medicine and haemochromatosis: at the crossroads. Gastroenterology. 1999; 116: 193-207 Abstract Full Text Full Text PDF PubMed Scopus (268) Google Scholar , 2. Pietrangelo A Haemochromatosis 1998: is one gene enough?. J Hepatol. 1998; 29: 502-509 Abstract Full Text PDF PubMed Scopus (30) Google Scholar ). The appropriate terminology for different iron overload states along the continuum is given below. The expert panel considers it both appropriate and feasible to define an over-accumulation state distinct from haemochromatosis. “Excess body iron storage” (iron overload) [haemosiderosis=iron staining in tissues] may be: i) Minimal: ∼1.5g (hepatic iron concentration, HIC, >30 μM/g) (?pathological significance: e.g. porphyria cutanea tarda (PCT); ii) Modest: 2–5 g (HIC>100 μM/g; serum ferritin approx 500 μg/l) (seen in chronic liver disease, haemolytic disorders, PCT, etc.); iii) Severe: >5 g (HIC >200 μM/g; serum ferritin approx 750 μg/l).
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.
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) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 it