164TiP MONSTAR-GLYCO: A multi-institutional prospective study harnessing glycomics and multi-omics on the j-glyconet and SCRUM-MONSTR platform
Bibliographic record
Abstract
by RECIST v1.1.Key secondary endpoints include DCR, PFS, toxicity, and incidence of SMO/PTCH1 mutations as a proportion of total patients screened.Part A: eligible patients will undergo biomarker screening for aberrant Hh pathway expression.Whole exome sequencing will be performed on archival tumour tissue and a contemporary blood sample (for ctDNA + patients).Part B: biomarker-positive patients via Part A or a prior commercially available NGS panel will receive sonidegib at 200mg daily with potential dose-escalation until disease progression by RECIST v1.1 or unacceptable toxicity.Enrolment has commenced at Royal North Shore Hospital, Sydney.Sixteen patients have enrolled in Part A and 1 (of 35 planned) has enrolled in Part B.Clinical trial identification: ANZCTR: ACTRN12623001216606; Registered 27/11/2023.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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".