Bibliographic record
Abstract
The 2016 Annual Scientific Meeting (ASM), of the Medical Oncology Group of Australia Incorporated (MOGA) will present a challenging and far-reaching scientific program. The meeting's theme, Implementation+Innovation in Immunotherapy has led the organising committee to develop an innovative and rigorous scientific program that explores many of the emerging challenges and advances in medical oncology research and clinical practice. Leading Australian experts, Professor Grant MacArthur and Dr Alexander Menzies have co-convened an Immuno—Oncology Forum that will consider immunotherapy as well as its role in clinical practice. This informative and comprehensive Forum has a strong practical focus and will be a valuable learning experience for all clinicians. The main program has a strong focus on immunotherapy and genomics as well as innovations and implementations in research and clinical practice across major cancer streams; including lung, kidney, bladder, prostate, gastro-oesophageal, head and neck cancer; and, a symposium on Genomic Health Delivery for the Future. The Program features top-line, international and national speakers. Professor David Carbone, Ohio State University, will share his expertise on lung cancer, lung cancer genetics, cancer immunotherapy, immunosuppression mechanisms and gene therapy. Associate Professor Daniel Heng, Tom Baker Cancer Centre and Cumming School of Medicine, University of Calgary, an internationally renowned kidney cancer specialist who created the Metastatic Renal Cell Carcinoma Database Consortium will provide insight into his high-level research and clinical practice. The International guest speakers will provide a state of art perspective on scientific and research trends as well as share their specialist tumour expertise in one-off presentations. There will also be major symposia complemented by presentations from major Australian specialists. A highlight Breakfast session will be a review of recent activities by ANZUP, ALTG and ANZMTG. Professor Stephen Clarke OAM will also share his extensive expertise and unique professional perspective in his the 2016 Cancer Achievement Award presentation on, Incorporating Research into Clinical Oncology Practice. An industry exhibition and poster display will be complemented by oral sessions for the Best of the Best Research, Trainees and Consultants. The meeting encompasses a rich array of educational and networking opportunities for trainees, young consultants and senior clinicians; new sessions will provide with timely updates from the Royal Australasian College of Physicians; and an update on the all-important Australia Workforce Study #2. Highlights of the social program include the Welcome Reception, the Poster Walk and Talk and the Gala Dinner at Palazzo Versace. Best of ASCO® will be a great opportunity to review and debate the very latest advances in oncology research and afterwards wind-down at a casual BBQ lunch. On behalf of the ASM Planning Committee I invite you to join us on the Gold Coast this August. We trust that you will find some time to enjoy our beautiful surroundings and can guarantee that the 2016 ASM will be a rewarding professional experience. Professor Ken O'Byrne, Convenor Department of Medical Oncology, Princess Alexandra Hospital Queensland University of Technology, Translational Research Institute Queensland Senior Clinical Research Fellow Brisbane, Queensland
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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 | 0.008 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.401 | 0.266 |
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".