Identification of novel therapeutics for the treatment of MMR deficient tumours using high-throughput screens.
Bibliographic record
Abstract
This thesis presents the measurement of the production cross section of a W boson with a single charm quark in 7 TeV proton-proton collisions using the ATLAS detector at the Large Hadron Collider.The data analysed correspond to an integrated luminosity of 4.6 fb -1 and were collected during 2011.This is the first time that ATLAS data has been used for this particular measurement.This cross section is of particular interest as a probe of the strange quark density of the proton.Typically, the strange quark density is considered to be suppressed relative to that of the other light-quarks in the proton sea.However, some analyses suggest a more symmetric composition of light-quarks in the proton sea.The results of this study aim to improve the precision of the determination of the strange quark density.backgrounds.The author also obtained the results for the yield of W + c events and compared kinematical distributions of the selected data with predictions.Chapter 6: The author evaluated the backgrounds as a function of the W -decay muon's charge and pseudorapidity, using both data-driven methods and simulated samples.The author also obtained the results for the charge divided yields of W+c events; measured the pseudorapidity distribution for the W+c production and compared it to prediction.Chapter 7: The author calculated the combination of integrated cross sections using the profile likelihood method, using dedicated statistical software packages and generating Monte Carlo pseudo-experiments to validate the result of the maximum likelihood fit.The author also compared the combined result to the theoretical predictions taken from reference.Appendix A: The author obtained the results for the QCD multijet background estimation in the muon channel analysis, which was used to measure the top quark pair production cross section. Appendix B:The author obtained the results for the predicted yields in the pretag data sample and compared kinematical distributions with predictions.Estimation of the multijet background for a measurement of the top quark pair production
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".