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Record W4367320915 · doi:10.4081/ejtm.2023.11427

2023 Padua Days of Muscle and Mobility Medicine: post-meeting Book of Abstracts

2023· article· en· W4367320915 on OpenAlexaboutno aff
Sandra Zampieri, Ines Bersch, Helmut Kern, Nejc Šarabon, Riccardo Rosati, Nathan K. LeBrasseur, Christiaan Leeuwenburg, Ugo Carraro

Bibliographic record

VenueEuropean Journal of Translational Myology · 2023
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsnot available
FundersUniversité de Lorraine
KeywordsLibrary scienceMedicineMyologyClassicsHistory

Abstract

fetched live from OpenAlex

The 2023 Padua Days of Muscle and Mobility Medicine (Pdm3) were held from March 29th to April 1st, 2023. Most of the abstracts were published electronically in the European Journal of Translational Myology (EJTM) 33 (1) 2023. Here we report the complete book of abstracts that confirms the interest of more than 150 scientists and clinicians from Austria, Bulgaria, Canada, Denmark, France, Georgia, Germany, Iceland, Ireland, Italy, Mongolia, Norway, Russia, Slovakia, Slovenia, Spain, Switzerland, The Netherlands and USA to gather to the Hotel Petrarca of Thermae of Euganean Hills, Padua, Italy for contributing and attending the Pdm3 (https://www.youtube.com/watch?v=zC02D4uPWRg). The 2023 Pdm3 started March 29th in the historic Aula Guariento of thePadua Galilean Academy of Letters, Arts and Sciences with the Lecture of Prof. Carlo Reggiani and ended in the late afternoon with the Lecture of Professor Terje Lømo after introductory words of Professor Stefano Schiaffino. The program followed in the Hotel Petrarca Conferenece Halls from March 30 to April 1, 2023. The extended topic interests of specialists in basic myology sciences and clinicians, collected under the umbrella neologism of Mobility Medicine, is stressed also by expansion of Sections of the EJTM Editorial Board (https://www.pagepressjournals.org/index.php/bam/board). We hope that Speakers of the 2023 Pdm3 and readers of EJTM will submit "EJTM Communications" to the European Journal of Translational Myology (PAGEpress, Pavia, Italy) by May 31, 2023 and/or invited review and original articles for the 2023 special issue: "Pdm3" of Diagnostics, MDPI, Basel, Switzerland due September 30, 2023.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.966
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.032
GPT teacher head0.301
Teacher spread0.269 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2023
Admission routes1
Has abstractyes

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