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Record W6990984486

Evaluación hidráulica del tramo en estudio puente peatonal Miguel Bonilla - UNICIT del cauce revestido Jocote Dulce del Distrito I de la ciudad de Managua, 2016

2017· dissertation· es· W6990984486 on OpenAlexaboutno aff

Bibliographic record

VenueRepositorio Universidad Nacional Autonoma de Nicaragua-Managua (Universidad Nacional Autonoma de Nicaragua Managua) · 2017
Typedissertation
Languagees
FieldEarth and Planetary Sciences
TopicGeological and Tectonic Studies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsStatistical analysisMetropolitan areaPopulationQuarter (Canadian coin)
DOInot available

Abstract

El cauce revestido Jocote Dulce del Distrito I de la ciudad de Managua se encuentra localizado según (Villachica, 2016) en el sistema de proyección UTM zona 16 y con las siguientes coordenadas (Este: 579143.661, Norte: 1338424.30), a una altura promedio de 214 metros sobre el nivel medio del mar. Presentando los límites siguientes: limita al sur con la Comarca Jocote Dulce y las Viudas, al Norte con la reserva natural de la laguna de Tiscapa en la que descarga sus aguas, al Este con el Distrito I y al Oeste con el Distrito III. El tramo en estudio está comprendido del puente peatonal Miguel Bonilla hacia la UNICIT

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: about_only · design weight: 3321.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Hydraulic evaluation of a channel in Managua; civil engineering.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

This work evaluates a hydraulic structure and does not study research practice.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Hydraulic assessment of an urban drainage channel in Managua; domain engineering, not metaresearch.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.290
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.256
Teacher spread0.247 · 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 designSimulation or modeling
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

Citations0
Published2017
Admission routes1
Has abstractyes

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