MétaCan
Menu
← Back to cohort
Record W2949056624

Radiología de urgencias en pacientes con Sintron

2018· article· es· W2949056624 on OpenAlexaboutno aff
Iliana Romero Batista, Valentina Troconis Vaamonde, Nadia Ouyon Ouyon, A. Lorenzo Górriz, Eva Casanovas Feliu, Soraya Barrachina Hidalgo

Bibliographic record

VenueSeram · 2018
Typearticle
Languagees
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesMedicinePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Objetivos Docentes• Describir las indicaciones habituales del tratamiento con sintrom y la importancia del INR.• Describir los ls hallazgos radiologicos de las complicaciones mas frecuentes de los pacientes anticoagulados. Revision del temaLa historia de los anticoagulantes orales comienza en los anos 20 del siglo pasado cuando Schofield describe “la enfermedad del trebol dulce”, una enfermedad hemorragica que afectaba el ganado de Dakota del Norte y Canada. Estaba causada por una sustancia contenida en el heno mal curado que se aislo e identifico como dicumarina por Link y  colaboradores en 1933. En 1941 fue usada en ensayos clinicos por Bingham y Butt y, ya en 1944, Nichol y Fasset la emplearon como terapia para la prevencion de recurrencias de los infartos de miocardio en 1944(1).

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)0.001
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.010
GPT teacher head0.289
Teacher spread0.278 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueSeram→Same topicVenous Thromboembolism Diagnosis and Management→French-language works237,207→