The roles of standard cigarettes in assuring the ignition resistance of soft furnishings
Bibliographic record
Abstract
Summary Regulations for cigarette ignition resistance (CIR) of soft furnishings (beds and upholstered furniture) and less fire‐prone cigarettes have contributed substantially to the decrease in losses from cigarette‐initiated fires over time. Two standard reference cigarettes play key roles in mitigating these losses and in sustaining the effectiveness of the fire safety regulations as exogenous changes occur. SRM 1082 provides a uniform, durable supply of cigarettes for use in ASTM E2187 that assures manufacturers and regulators of compliance with regulations for reduced ignition propensity cigarettes; enables quality control of cigarette fire test performance; enables assurance of uniform interlaboratory test results; obviates effects on fire safety as tobacco crops and smokers change over time; and, when the original ASTM E2187 substrate material was no longer available, enabled adding a new, equivalent substrate. SRM 1196 provides a uniform, durable supply of cigarettes for assurance of consistent interlaboratory evaluation of the ignition resistance of soft furnishings using the mandated test methods; obviates possible unknown changes in soft furnishings' CIR due to the evolving ignition strength of the original test cigarette over time; and provided a test cigarette that was stronger than most cigarettes being smoked after manufacture of the original commercial test cigarette ceased.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".