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Record W2906828895 · doi:10.2344/anpr-65-04-16

IFDAS 2018 Meeting News

2018· editorial· en· W2906828895 on OpenAlexaboutno aff
Steven Ganzberg

Bibliographic record

VenueAnesthesia Progress · 2018
Typeeditorial
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsAnesthesiologyMedicineSpecialtyAmerican society of anesthesiologistsLibrary scienceFamily medicineAnesthesia

Abstract

fetched live from OpenAlex

The 15th International Federation of Dental Anesthesia Societies (IFDAS) International Dental Congress on Anesthesia, Sedation, and Pain Control, in Nara, Japan, was a huge success. This was a joint meeting with the Japanese Dental Society of Anesthesiology (JDSA), the specialty association of dental anesthesiologists (as they are called in Japan), and the Federation of Asian Dental Anesthesiology Societies, made up of physician anesthesiologists with an interest in, or practice devoted to, anesthesiology for dentistry from other Asia/Pacific countries and including JDSA. Over 1000 participants were involved in the various lectures, symposia, poster presentations, and oral research presentations of the 3 groups.Representing the United States and Canada were a particularly large number of dentist anesthesiologists, including such luminaries as Drs Joel Weaver, Daniel Haas, Mort Rosenberg, James Phero, and Stanley Malamed. Several US oral and maxillofacial surgeons also attended, including ADSA president Dr Michael Rollert, who eloquently represented ADSA. Dr Cynthia Fukami represented ASDA as president-elect. Invited US speakers included Drs Joel Weaver and Steven Ganzberg. Drs Jason Brady and Andrea Fonner, along with a host of ADSA members and dental anesthesiologists from Japan, presented a beta version of the 10 Minutes Saves a Life app to our colleagues from all over the world. The app should be available before the end of the year to all ADSA members!Dr Joel Weaver, a consummate historian, gave the JDSA Yasuya Kubota Memorial Lecture on the legacy of Japanese and American pioneers in dental anesthesiology. A special session titled Young IFDAS was a great success, with younger (and older) dentist anesthesiologists and sedation providers from all over the world discussing sedation and general anesthesia in their respective countries. A number of presentations related to facial pain and its management were also presented.Dr Daniel Haas, dentist anesthesiologist, Dean of the Faculty of Dentistry, and Head of the Department of Dental Anesthesiology at the University of Toronto, was one of the recipients of the Horace Wells Award recognizing exceptional careers in pain and anxiety control in dentistry. He is the first Canadian to be awarded the honor. Dr. James Phero, dentist anesthesiologist and past ADSA and IFDAS president, also received this high honor from the IFDAS.The IFDAS and JDSA put on an exceptional program headed by Dr Tatsuya Ichinohe with congress president Dr Katsuhisa Sunada. The logistics were quite complex with so many different meetings in so many languages going on simultaneously. As we have come to expect from our Japanese colleagues, the event was flawlessly presented. The Noh theatre performance, an ancient Japanese tradition, and the Taiko drummers during the evening presidential reception were beautiful. The geisha performance at the very sophisticated gala dinner the next night was exquisite and completed the highlights of the long history of Japanese culture. In short, the 15th IFDAS meeting was a tremendous experience for all who attended and had the opportunity to expand their vision of dental anesthesiology on what felt like a very small planet. Make your plans now to attend IFDAS 2021 in Moscow, Russia.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.391
Threshold uncertainty score0.869

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0080.003
Open science0.0020.003
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.3910.325

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 head0.012
GPT teacher head0.293
Teacher spread0.281 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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
Published2018
Admission routes1
Has abstractyes

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