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Record W7065314128

El cáncer de mama en el Valle del Cauca

2017· other· es· W7065314128 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

VenueInstitutional Repository of the National University Open and Distance UNAD (Universidad Nacional Abierta y a Distancia) · 2017
Typeother
Languagees
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Quarter (Canadian coin)Limiting
DOInot available

Abstract

fetched live from OpenAlex

El cáncer de mama es una patología que actualmente tiene un alto impacto sobre la salud de la población colombiana. Se sabe que esta enfermedad no solo afecta países en desarrollo sino también a la mayoría de los países a nivel mundial. En el presente documento se tratara el Cáncer de Mama en el Departamento del Valle del Cauca. Para hablar sobre la temática se abordara desde la historia natural de la enfermedad que tiene dos periodos importantes uno pre-patogénico y otro patogénico. Así mismo se hará un análisis sobre el comportamiento de la enfermedad durante los últimos 10 años. Para esta actividad se utilizara información de graficas dadas por los diferentes entes de salud como el Ministerio de Salud, la Gobernación del Valle del Cauca, Alcaldía de Cali, específicamente; argumentando el proceso de la enfermedad tanto a nivel Mundial como Nacional. Se dará a conocer los programas de promoción y prevención establecidos por los diversos Entes e Instituciones de Salud Nacional y Local.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.910
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.255
Teacher spread0.243 · 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