Compliance in Early-Phase Cancer Clinical Trials Research
Bibliographic record
Abstract
Regulations and ethical principles require that investigators seek consent and that patients participate in experimental studies only under circumstances that minimize the possibility of undue pressure and/or enticements. In recent years, there has been a rapid rise in the monitoring requirements of early-phase trials accompanied by an increasing emphasis on assuring "investigator" compliance with the protocol. It is actually, however, the patient who must comply with the requirements of the study. If there is divergence from the protocol, investigators may be reported to regulatory bodies or agencies. Whereas the investigative community is expected to be vigilant about ensuring that patients participate in studies voluntarily and that their consent is procured without duress, it is also required to guarantee that complex protocols, which entail multiple procedures, be followed exactly by participants who suffer from the complications of advanced cancer. We explore the issue of compliance in a research environment in which investigators are subject to disciplinary action if they fail to ensure that patients adhere precisely to the intense monitoring mandates of a clinical trial.
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 | 0.225 | 0.294 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.023 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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".