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Record W2531395888 · doi:10.1111/ajco.12524

Convenor's Welcome

2016· article· en· W2531395888 on OpenAlexaboutno aff
Kenneth J. O’Byrne

Bibliographic record

VenueAsia-Pacific Journal of Clinical Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMentorshipMedical educationOncologyLibrary science

Abstract

fetched live from OpenAlex

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

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.087
GPT teacher head0.435
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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