Bibliographic record
Abstract
Dans ce premier tome l’auteur raconte son combat contre son cancer generalise metastatique, il decrit la chronologie de evenements depuis l’apparition des premiers symptomes jusqu’a la mise en place des premiers traitements et des suivis realises. Il utilise son experience de medecins, de chercheur clinicien en sante et de son experience a Sante Canada pour guider les patients a travers les different etapes de traitements du cancer. Il discute des avantages et inconvenients des differentes modalites de traitement couramment utilisees en cancer incluant la therapie biologique, la chimiotherapie, la radiotherapie, l’hormonotherapie et autres. Comme il est fortement possible que le cancer devienne resistant au traitement initial, il discute des therapies en developpement et des therapies les plus prometteuses dans le traitement du cancer que sont l’immunotherapie et la therapie genique afin de demontrer aux medecins et aux patients qu’il y a de l’espoir dans le traitement du cancer.
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 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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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; both teacher heads agree on what is shown here.
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".