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
After incoming the notion of eco-friendly building, many organizations developed green building assessment programs. The total annual energy consumption in the domestic is about 216.5Mtoe, and 11th level of world, greenhouse gas displacement is about 476.1Mton, it's 9th level of the world. About 25% of energy use, about 40% of the consumption of resources, about 50% of CO2 discharge, and about 20~30% of waste discharge are used in the field of Architecture. The purpose of this paper is comparison analysis of domestic and external green building certification system. This paper is analysis of certification system, it is LEED of USA, BREEAM of England, R-2000 of Canada, EnEV of Germany, CASBEE of Japan, NatHERS of Australia, green building certification system of Korea. This is analysis based on assessment items of each system for analysis of certification system. This is through analysis of certification system, grasp concrete problem of domestic certification system and draw a improvement.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.007 |
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