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Record W3112667673 · doi:10.24875/ciru.20000879

Complicaciones trombóticas en COVID-19 grave: enfoque en tromboembolia venosa, tromboprofilaxis y anticoagulación

2020· article· es· W3112667673 on OpenAlexaff
Mateo Porres‐Aguilar, María Cristina Guerrero-de León, Flavio Adrián Grimaldo-Gómez, Raúl Izaguirre-Ávila, Alfredo Cabrera-Rayo, Luis E. Santos-Martínez, Jorge R. Sánchez-Medina, Mateo Porres‐Muñoz, Raúl Carrillo-Esper

Bibliographic record

VenueCirugía y Cirujanos · 2020
Typearticle
Languagees
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicineVirologyDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

La enfermedad grave por coronavirus 2019 (COVID-19) está causada por el Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) y predispone a complicaciones trombóticas. En esta revisión se aborda de manera práctica la estrecha relación entre la tromboembolia venosa y la COVID-19, enfatizando aspectos epidemiológicos, factores de riesgo y tromboprofilaxis, así como potenciales opciones de anticoagulación. Actualmente la evidencia científica es muy escasa, pero día a día seguimos aprendiendo, estando atentos a cambios novedosos y dinámicos en esta enfermedad infecciosa e inmunotrombótica emergente.

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)0.004
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.071
GPT teacher head0.424
Teacher spread0.353 · 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
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

Citations6
Published2020
Admission routes1
Has abstractyes

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