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Record W2019533189 · doi:10.5539/ijsp.v2n1p16

Studies on the Probabilistic Model for Ship-Bridge Collisions

2012· article· en· W2019533189 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.

venuePublished in a venue whose home country is Canada.
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

VenueInternational Journal of Statistics and Probability · 2012
Typearticle
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsnot available
FundersTongji UniversityChang'an University
KeywordsRepresentativeness heuristicPierBridge (graph theory)Probabilistic logicCollisionComputer scienceOperations researchData scienceEngineeringArtificial intelligenceCivil engineeringMathematicsComputer securityStatistics

Abstract

fetched live from OpenAlex

Shocking ship-bridge collisions indicate that there's large space in the previous bridge anti-collision technology research. There are several advantages in the risk-based anti-collision technology of the bridges. Thus the databases such as SpringerLink, Elsevier ScienceDirect and CNKI, the Chinese database, are included to collect literature for the purpose of examining the probabilistic models. Reviewing the current representative models, this paper argues some limitations in the models, such as the questionable applicability of models, the neglected affects of pier turbulent zones as well as some inaccuracies in the mathematical formulations. Accordingly, the paper revises the current models and also addresses increasing the representativeness of samples with sufficient experiments. This paper explores the topic for its potential applications, and aims to make some contribution to the references on the topic so as to popularize and promote the technology in a real sense.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.072
GPT teacher head0.324
Teacher spread0.252 · 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