Bibliographic record
Abstract
A Canadian Observational Study in Metastatic Cancer of the Prostate: A Study of ZYTIGA Use in the Community Urology Setting. The COSMiC Prospective Prostate Cancer Registry.The purpose of this non-interventional, prospective, observational study is to temporally evaluate the impact of abiraterone acetate (ZYTIGA) therapy on Patient Reported Outcomes (PROs) and on clinical outcomes in the chemotherapy-naive metastatic castrate-resistant prostate cancer (mCRPC) population.Study participants must have a confirmed diagnosis of mCRPC according to medical history and have rising PSA levels or radiographic progression (documented by previous positive bone scan or metastatic lesions identified on CT or MRI) despite ongoing conventional ADT.Study participants will complete Quality of Life and Patient Satisfaction questionnaires longitudinally at defined time points. Safety and efficacy data, as well as levels of health care resource utilization associated with ZYTIGA therapy, will also be prospectively collected and analyzed.Once enrolled, study participants will be followed for a maximum of 72 weeks from the time of initiation of ZYTIGA treatment, or up to the time of early study withdrawal/termination.For additional information please contact Richard K. Plante at rplante@its.jnj.com
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 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 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.671 | 0.290 |
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".