Blockchain-enabled cash flow management system in offsite construction projects
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.
Bibliographic record
Abstract
Offsite construction (OSC) technology provides substantial merits over traditional methods, such as shorter schedules and reduced waste. Nonetheless, its implementation is constantly hindered by financial barriers. Existing studies on overcoming OSC financial barriers were limited to cost estimation and factorial analysis. At the same time, the need for a cash flow system to automate progress payments and integrate OSC participants persists. This paper contributes to the body of knowledge by proposing a cash flow management system for OSC projects based on blockchain and building information modeling technologies. The proposed system supports many features, including automated financial transactions, flexibility in applying various procurement systems, facilitation of possible claims (i.e., extension of time and liquidated damages), and secure and immutable recording of all transactions. A proof-of-concept method is used to showcase the applicability of the proposed system by developing five case scenarios. The findings prove the system's capabilities to provide a secure platform for financial transactions among OSC participants without third-party involvement.
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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 | 0.001 | 0.001 |
| 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 it