A Risk Assessment Model for Pipelines Exposed to Geohazards
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.
Bibliographic record
Abstract
Transredes S.A. currently operates over 5,500 km of natural gas and liquids pipelines throughout Bolivia. These traverse geologically active terrain, subject to earthquakes, floods and landslides. Construction of these pipelines dates as far back as 1955, with some currently operating under conditions not foreseen at design. A quantitative risk assessment procedure was developed to rank the threats to the pipelines and target locations exposed to the highest level of risk. The objective was to implement a systematic means of prioritizing capital and maintenance activities based on risk management principles. The procedure was implemented on the OSSA-1 pipeline as part of a pilot study. This paper describes the OSSA-1 Pilot Project, with emphasis on how risk assessment procedures were customized to address the pipeline’s elevated exposure to ‘geohazards’.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it