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Record W7009895192

Evaluación del estado del pavimento flexible de la carretera pe – 08A, entre dv. San Pablo (km–00+00) y dv. San Bernardino (km – 09+960), utilizando el método de índice de condición del pavimento (PCI), en la región de Cajamarca – 2020.

2022· dissertation· es· W7009895192 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2022
Typedissertation
Languagees
FieldEnvironmental Science
TopicPublic Health and Environmental Issues
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Economic shortageNova scotia
DOInot available

Abstract

fetched live from OpenAlex

La presente tesis “EVALUACIÓN DEL ESTADO DEL PAVIMENTO FLEXIBLE
\nDE LA CARRETERA PE – 08A, ENTRE Dv. SAN PABLO (KM–00+00) Y Dv. SAN
\nBERNARDINO (KM – 09+960), UTILIZANDO EL MÉTODO DE ÍNDICE DE
\nCONDICIÓN DEL PAVIMENTO (PCI), EN LA REGIÓN DE CAJAMARCA -
\n2020” tiene por objetivo realizar la evaluación del estado del pavimento flexible según
\nel Índice de Condición de Pavimento (PCI) de la carretera PE – 08A, entre Dv. San
\nPablo (KM - 00+000) y Dv. San Bernardino (km – 09 + 960). La investigación
\ncorresponde a un tipo aplicativa - descriptiva, no experimental de corte transversal y
\nel contexto en donde se realizó la evaluación es en gabinete y en campo. Dentro de los
\nresultados evaluados mediante el método PCI se revela que el 1.29% del pavimento se
\nencuentra en estado regular, el 6.13% en estado bueno, el 29.68% en un estado muy
\nbueno, y por último el 62.90% se encuentra en un estado excelente. En conclusión, el
\nestado del pavimento flexible según el Índice de Condición de Pavimento (PCI) de la
\ncarretera PE – 08A, entre Dv. San Pablo (KM - 00+000) y Dv. San Bernardino (km –
\n09 + 960) es excelente, representado con un índice de 86.

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 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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0170.001

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 head0.010
GPT teacher head0.320
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2022
Admission routes1
Has abstractyes

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