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Record W2313554141 · doi:10.5114/reum.2013.34829

The Eleventh European Congress of Internal Medicine,Madrid, 24th-27th October 2012

2013· article· en· W2313554141 on OpenAlexaboutno aff
Eugeniusz J. Kucharz

Bibliographic record

VenueReumatologia/Rheumatology · 2013
Typearticle
Languageen
FieldMedicine
TopicLymphadenopathy Diagnosis and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEleventhMedicineRheumatologyInternal medicine

Abstract

fetched live from OpenAlex

Miejskim Pałacu Kongresów (Palacio Municipal de Congresos), znajdującym się w nowej dzielnicy Madrytu (Campo de las Naciones), odbył się 11.Europejski Kongres Medycyny Wewnętrznej (11 th European Congress of Internal Medicine) połączony z XXXIII Narodowym Kongresem Hiszpańskiego Towarzystwa Medycyny Wewnętrznej (Sociedad Espan ~ola de Medicina Interna).W obradach 24-27 października 2012 r. wzięło udział ponad tysiąc lekarzy z wielu krajów.Z uwagi na połączenie kongresu europejskiego z narodowym przeważali lekarze z Hiszpanii, mimo że jedynym językiem obrad był język angielski.

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)0.003
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: none
Teacher disagreement score0.401
Threshold uncertainty score0.854

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.4010.435

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 head0.263
Teacher spread0.250 · 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
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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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