Bibliographic record
Abstract
CLINICAL RESEARCH & CLINICAL TRIALS 2020 is in collaboration with the Clinical Trial Unit (CTU). This interactive virtual event focuses on a case study for contract design, pharmacovigilance, drug discovery, clinical drug development and observational studies scheduled during November 05-06, 2020. This webinar is open to all Clinicians, Doctors, Nurses Researchers, Ph.D. students and Pharmaceutical Industries, Professors, Scholars and Health Volunteers. The event mainly encourages the adherent clinical trials and clinical research in COVID-19. Members are encouraged to submit their research work and the industry expert work from the various organization would value learning more about improving the drug discovery. Webinar Date: November 05-06, 2020 Time: 9:00-17:00 BST (Login 10 minutes prior to webinar) Website: https://www.hilarisconferences.com/clinicaltrials Speakers @ Clinical Trials Congress 2020: Kimihiko Okazaki – Director, Okazaki Medical Clinic, Ukyo-ku, Kyoto, Japan; Manika Face Kreka – Medical Director, University of Medicine, Tirana, Albania; Mohamed Nabih EL-Gharib – Ex-Chairman, Faculty of Medicine, Tanta University, Egypt; Satyajit Patra – Director of PhD and Research Program, American International Medical University, Washington, USA; Bassam Mansour – Head of ICU, Pulmonary Division, Al- Zahraa Hospital-University Medical Center (ZHUMC), Beirut, Lebanon; Nagham Ramzi Sheblak – Member, Canadian Association of Clinical Research Specialist, King Abdullah International Medical Research Center (KAIMRC), Riyadh, Kingdom of Saudi Arabia; Claudine Kumba – Medical Doctor, Pediatric Anesthesia and Critical Care, Necker Enfants-Malades University Hospital, France. Looking forward for your confirmation! Regards, Mark Williams Program Manager | Clinical Trials Congress 2020 Email: clinicalresearch@hilarisconferences.net Phone: +32 2 808 14 31
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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 | 0.054 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.165 | 0.156 |
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".