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Record W3096505096 · doi:10.35663/amp.2020.373.1197

Revisión sobre obesidad como factor de riesgo para mortalidad por COVID-19

2020· article· es· W3096505096 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueACTA MEDICA PERUANA · 2020
Typearticle
Languagees
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)MedicineGynecologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)HumanitiesPhilosophyInternal medicine

Abstract

fetched live from OpenAlex

Esta revisión presenta la evidencia disponible hasta el mes de junio del 2020 y trata sobre el efecto que tiene la obesidad como posible factor que aumenta la mortalidad en pacientes con diagnóstico por infección por COVID-19. La calidad de la mayoría de los estudios fue buena según la escala de Newcastle Ottawa (mayor o igual a 7/9). Los estudios reportaron seguimientos entre el 6 de febrero hasta el 17 de mayo del 2020. En pacientes con COVID-19, la obesidad fue un factor de riesgo para progresar a mortalidad. Las personas con obesidad deberían ser tratadas como una población de alto riesgo y se deben intensificar las medidas de prevención de contagio antes de la infección y proveer asistencia especializada en casos de confirmados de COVID-19.

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.

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)0.312
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.748
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.312
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.115
GPT teacher head0.447
Teacher spread0.332 · 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