Supplementary Tables S1-S6, Figures S1-S2 from A Phase Ib Dose-Escalation Study of the Oral Pan-PI3K Inhibitor Buparlisib (BKM120) in Combination with the Oral MEK1/2 Inhibitor Trametinib (GSK1120212) in Patients with Selected Advanced Solid Tumors
Bibliographic record
Abstract
Supplementary Tables S1-S6, Figures S1-S2. Table S1. Criteria for defining dose-limiting toxicities Table S2. Summary of primary plasma PK parameters for BKM120 by treatment Table S3. Summary of primary plasma PK parameters for GSK1120212 by treatment Table S4. All causality AEs occurring in >10% of patients (all Grades and Grades 3-4; overall and by dose level - escalation and expansion) Table S5. SAEs suspected to be related to treatment (all Grades and Grades 3-4; overall and by dose level) Table S6. Summary statistics of exposure of study drug in the first four cycles and overall by treatment Full analysis set Figure S1A. Percentage change from baseline on p-S6 (H-score) in fresh tumour as per central review by primary site of cancer and treatment - phosphoserine 240-S6 ribosomal protein Figure S1B. Percentage change from baseline on p-S6 (H-score) in fresh tumour as per central review by primary site of cancer and treatment - phosphorylated ribosomal protein S6 235 Figure S1C. Percentage change from baseline on p-ERK (H-score) in fresh tumour as per central review by primary site of cancer and treatment Figure S2. Exposure plot (patients treated at MTD and RP2D, all cycles) Full analysis set Figure S3. Exposure plot (patients treated at MTD and RP2D, first 9 cycles) Full analysis set
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 | 0.004 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.793 | 0.213 |
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".