Comparative analysis of various CT scans using the “Superimposition” feature from the Invivo 5.4 software by Anatomage
Bibliographic record
Abstract
Magnetic Resonance Imaging (MRI) and Computer Tomographic (CT) scans have paved a way to more in depth and non-invasive analysis of the human body for pathological purposes. As our world delves further into the digital age, so should our medical imaging technology. The Invivo 5.4 software by Anatomage is advancing this journey in medical imaging to create even more forensic potential. The software was used to analyze two abdominal CT scans and two cranial CT scans depicting the brain to gain further insight into their conditions and potential prognoses. The “superimposition” application in the program is used to place the pre-condition scans along the same plane as the scans containing the patient’s diagnosis; this provided clarity and accuracy in determining the nature of the conditions, found to be an abdominal hemorrhagic cyst and inflammation and degeneration of the brain caused by multiple sclerosis, respectively.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".