MétaCan
Menu
Back to cohort
Record W4295760367 · doi:10.1186/s13613-022-01061-1

Jordi Mancebo, in memoriam (August 06 2022)

2022· letter· en· W4295760367 on OpenAlexaff
Laurent Brochard, Alain Mercat

Bibliographic record

VenueAnnals of Intensive Care · 2022
Typeletter
Languageen
FieldMedicine
TopicMedicine and Dermatology Studies History
Canadian institutionsMuscular Dystrophy Canada
Fundersnot available
KeywordsAnesthesiologyMedicineFamily medicineAnesthesia

Abstract

fetched live from OpenAlex

Il y a des êtres qui justifient le monde, qui aident à vivre par leur seule présence».Albert Camus Jordi Mancebo, graduated in Medicine in 1980 and was made Doctor of Medicine in 1991 from the Autonomous University of Barcelona.He specialized in Intensive Care Medicine in 1986 and worked in Sant Pau Hospital with Alvar Net and Salvador Benito.He became the head of the ICU there.He was an outstanding clinician and mentor.Early during the COVID-19 pandemic, he started to face the challenge of managing the surge of COVID-19, which stroked quite hard in Barcelona, and the last years were very busy clinically for him, strongly supporting Open Access

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)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.045
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0080.002
Scholarly communication0.0080.003
Open science0.0020.003
Research integrity0.0450.044
Insufficient payload (model declined to judge)0.0230.020

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 head0.061
GPT teacher head0.332
Teacher spread0.271 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2022
Admission routes1
Has abstractno

Explore more

Same venueAnnals of Intensive CareSame topicMedicine and Dermatology Studies HistoryFrench-language works237,207