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Record W7133412807

Review of the state of the art of standards for cyclists case study universidad industrial de santander, cra. 27 # 9 main entrance (bucaramanga) and tiger service station, highway floridablanca street 205 # 10*

2019· article· es· W7133412807 on OpenAlexaboutno aff
Andres Fabian Camacho Leon, Erika Fernanda Delgado Rodriguez

Bibliographic record

VenueUniversidad Industrial de Santander · 2019
Typearticle
Languagees
FieldHealth Professions
TopicOccupational Health and Safety in Workplaces
Canadian institutionsnot available
Fundersnot available
KeywordsService (business)State (computer science)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

Los biciusuarios de Bucaramanga y su área metropolitana deben comportarse en la vía cumpliendo las leyes y normas según lo dicta la legislación colombiana, sin embargo, para establecer una mayor cantidad de parámetros que intervienen en su seguridad a la hora de conducir e intervenir en la malla vial, es prudente investigar las leyes vigentes en ciudades reconocidas por adoptar masivamente la bicicleta como medio de transporte. Existen ciudades como Bógota, Mexico, Quebec, Sevilla y de países bajos con una gran cultura en el tema que fueron seleccionadas para este estudio basado en su amplia experiencia y conocimiento. Mediante encuestas aplicadas en los puntos de estudio Universidad Industrial de Santander, Cra. 27 # 9 Entrada principal (Bucaramanga) y Estación de Servicio Tiger, Autopista Floridablanca Clle. 205 # 10. Se realizó un diagnóstico del conocimiento y aplicación de las normas prescritas, las virtudes y falencias que se detectan en los hábitos de los conductores para lo que se pretende elaborar una guía con recomendaciones para que los biciusuarios circulen de una manera mas segura y conozcan las leyes que les rige como conductores de bicicleta, además de adquirir consejos en temas como salud del biciusuario, mantenimiento y seguridad de la bicicleta que les serán de gran ayuda a la hora de conducir.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.358
Teacher spread0.317 · 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 teacher head, not a consensus.

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
Published2019
Admission routes1
Has abstractyes

Explore more

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