Bibliographic record
Abstract
In recent years, the roofing industry has undergone another major change with the introduction of underlayment products that have significant moisture retention and permeability differences from the traditional ASTM D226, Standard Specification for Asphalt-Saturated Organic Felt Used in Roofing and Waterproofing, Type I and Type II felts. It is expected that these differences will have an effect on the performance of some roof covers. The goal is to study the wetting and drying performance under natural conditions for a minimum of two years and to observe and photograph any changes in the wood. This study includes 11 different combinations of two types of underlayment and four continuous ventilation products under four variations of wood cedar shingles. Each of the 11 sets of shingles and underlayments installed on a 6/12 slope, south-facing roof over a traditional ventilated attic in Climate Zone 5 are instrumented with temperature and moisture probes on the tops and undersides of the shingles. This data as well as ambient weather data are captured and recorded by an onsite computer every 15 min, 24 h per day. The outdoor test facility roof is more than 25 ft long from eave to ridge and has the moisture and temperature probes at three locations on each of the 11 test sections. The goal is to study the wetting and drying performance under natural conditions for a minimum of two years and to observe and photograph any changes in the wood. The data show major differences in wetting and drying rates that are both product and underlayment dependent. The paper includes information on the data acquisition systems and their performance as well as test facility operating parameters and the moisture retention results. Cedar is a product that is moisture sensitive and therefore provides rapid acquisition of the moisture profiles as well as expanding data on ventilation benefits shown in Oak Ridge National Laboratory ventilation research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.042 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".