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Record W7015521198

Tratamiento médico para enfermedad inflamatoria intestinal

2007· other· es· W7015521198 on OpenAlexaboutno aff

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2007
Typeother
Languagees
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsUlcerative colitisInflammatory bowel diseaseCrohn's diseaseCrohn diseaseChronic disease
DOInot available

Abstract

fetched live from OpenAlex

"El tratamiento médico óptimo de los pacientes con enfermedad inflamatoria intestinal requiere que el médico tratante obtenga una buena historia clínica, evalúe al paciente, realice los procedimientos diagnósticos necesarios, y luego prescriba un tratamiento adecuado, basado en la evidencia de estudios clínicos controlados. Las metas del tratamiento farmacológico en pacientes con enfermedad inflamatoria intestinal son mejorar la calidad de vida, reducir el riesgo de complicaciones y evitar intervenciones quirúrgicas. Las recomendaciones de la nueva clasificación de Montreal con respecto a enfermedad de Crohn y colitis ulcerativa deben ser implementadas en nuestra práctica clínica. Finalmente, la introducción de la terapia biológica (Infliximab, adalimumab) ha mejorado las opciones de tratamiento en el manejo de la enfermedad inflamatoria intestinal."

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)0.001
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 score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.003

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 head0.023
GPT teacher head0.270
Teacher spread0.248 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

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