Additional file 1 of Comparison of international guidelines for diagnosis of hepatocellular carcinoma and implications for transplant allocation in liver transplantation candidates with gadoxetic acid enhanced liver MRI versus contrast enhanced CT: a prospective study with liver explant histopathological correlation
Bibliographic record
Abstract
Additional file 1: Supplementary Table 1. CECT quadriphasic liver protocol (Aquilion 64). Supplementary Table 2. Protocol for gadoxetic acid-enhanced liver MRI (Gd-EOB-MRI). Supplementary Table 3. LI-RADS v2018 – Major and Ancillary Features with EOB-MRI. Supplementary Table 4. Differences between sensitivities for scoring guidelines for EOB-MRI for lesions > 1 cm (numbers represent p values, all lesions seen on histopathology/ imaging-visible lesions only). SupplementaryTable 5. Differences between sensitivities for scoring guidelines systems forEOB-MRI for lesions of all sizes (numbers represent p values, all lesions seenon histopathology/imaging visible lesions only). Supplementary Table 6. Differences between sensitivities for scoring guidelines for CECT all lesions size > 1 cm (numbers represent p values, all lesions seen on histopathology/imaging visible lesions only). Supplementary Table 7. Differences between sensitivities for scoring guidelines for CECT for lesions of all sizes (numbers represent p values, all lesions seen on histopathology/imaging-visible lesions only).
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 | 0.002 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.852 | 0.116 |
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".