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
European valuation standards TEGoVA have conception for valuation of intangible assets and they formed to conform to International valuation standards (IVS) also to reach worldwide consensus in best practices in valuation process. The process of valuation of intangible influences was also surveyed in China, Hong Kong, USA, Canada, Japan, Germany, UK, Poland, Russia and overall in the Europe. Situation in mentioned locations is similar, valuation of intangible influences has not been determined by a concrete list of items and there has not been established concrete clear process. The subject matter of this paper is a proposal for a method of valuation of intangible effects that will impact assets prices. It deals with proposed procedures for valuation of intangible assets. Special effects are in particular name, historical value, design, quality of layout, security aspects, accessibility, and conflict groups of inhabitants in or near the property, location, provenience and other.
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 | 0.006 | 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 | 0.001 |
| 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