Summary from the NCI clinical trials planning meeting on next generation of clinical trials in non-muscle invasive bladder cancer <sup/>
Bibliographic record
Abstract
The National Cancer Institute organized a virtual Clinical Trials Planning Meeting (CTPM) on 'Defining the next generation of clinical trials with combination therapies in non-muscle invasive bladder cancer (NMIBC)' led by the Bladder Cancer Task Force of the NCI Genitourinary Cancers Steering Committee. The purpose of this meeting was to accelerate advances in clinical trials for patients with high-risk NMIBC. The meeting delivered a multidisciplinary expert consensus on optimal strategies for next-generation clinical trial designs in NMIBC with prioritization of combination therapies. Two clinical trial concepts were developed for potential implementation within the National Clinical Trials Network.
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 | 0.022 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".