Trends in the US decking market: A national survey of deck and home builders
Bibliographic record
Abstract
The deck-building industry is going through a period of rapid growth and dramatic change with respect to the types of materials available to build decks. Naturally durable timber species (i.e., redwood, western redcedar, Alaska yellow-cedar and tropical hardwoods) are facing acute competition from engineered decking products, primarily plastic lumber and composite wood products. The results of a 2004 national survey of 156 deck builders and 212 home builders indicate that wood–plastic composites are quickly gaining popularity among deck-building professionals as they increase their market share. This paper investigates deck-building professionals’ use and perceptions of the different decking materials. The study also reveals the usage patterns of the various decking materials in the primary end-use applications (substructure, deck surface and deck accessories). Finally, a comparative assessment of the different decking materials relative to a common set of material attributes is presented. Key words: decking market, deck-building practices, decking material, residential housing, deck builders, homebuilders
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".