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Record W2478133203 · doi:10.1520/mnl72-eb

The Practice of Flash Point Determination: A Laboratory Resource

2013· book· en· W2478133203 on OpenAlexaff
Edmund W. White, Rey G. Montemayor

Bibliographic record

Venuenot available
Typebook
Languageen
FieldDecision Sciences
TopicScientific Measurement and Uncertainty Evaluation
Canadian institutionsImperial Oil (Canada)
Fundersnot available
KeywordsFlash pointPoint (geometry)Flash (photography)RefineryComputer scienceVolatility (finance)EngineeringWaste managementBusinessChemistry

Abstract

fetched live from OpenAlex

Description Satisfy: Flash point defines petroleum product quality. This user's guide compares commonly used flash point apparatus and procedures and provides general guidance in the use and interpretation of standard ASTM flash point methods, including: Chapters cover: The manual is intended for those who run the flash point tests or for the users of the results of such tests. This includes lab technicians in testing laboratories, trucking, railway, aviation, shipping and warehousing of volatile materials to determine if they get what they ordered based on the flash point and the volatility of the materials. Also for businesses that receive DOT/EPA regulated petroleum products and refinery labs.

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 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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.329

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0020.002
Scholarly communication0.0050.008
Open science0.0040.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0980.146

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 head0.129
GPT teacher head0.394
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations12
Published2013
Admission routes1
Has abstractyes

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