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Record W4400144584 · doi:10.25040/ntsh2024.01.04

INTERNATIONAL MEDICAL FORUM “UKRAINIAN AND GLOBAL MEDICINE: BASICS, REALITY, AND STRATEGIC PROSPECTS”

2024· article· en· W4400144584 on OpenAlexaboutno aff
Liliia Nesterovska

Bibliographic record

VenueProceedings of the Shevchenko Scientific Society Medical Sciences · 2024
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianCommissionPolitical scienceEuropean commissionEvent (particle physics)Diversity (politics)Library scienceMedicineMedical educationEuropean unionLaw

Abstract

fetched live from OpenAlex

From December 13 to 15, 2023, the International Medical Forum (IMF) “Ukrainian and Global Medicine: Basics, Reality, and Strategic Prospects” was held successfully. Within the framework of this forum, the 12th Christmas Readings on Immunology and Allergology were held. The event was dedicated to the 150th anniversary of the Shevchenko Scientific Society (SSS), the 125th anniversary of the Medical Commission of the SSS, and the 25th anniversary of the Department and Center of Clinical Immunology and Allergology. Event hosts were the Medical Commission of the Shevchenko Scientific Society and Danylo Halytsky Lviv National Medical University. Despite difficult times for Ukraine, the event did not lose its leadership positions in terms of the number of speeches and the diversity of the agenda, and the vast geography of speakers and specialist attendees distinguished it. More than 400 speakers, about 1,000 listeners, and more than 1,200 online participants participated in the event. During three days, international experts from the USA, Canada, UK, Italy, Spain, Denmark, Slovakia, Sweden, Germany, Austria, and Poland, and leading scientists and experts for Ukraine delivered more than 300 speeches.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.017
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.064
GPT teacher head0.347
Teacher spread0.283 · 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 designTheoretical or conceptual
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

Citations4
Published2024
Admission routes1
Has abstractyes

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