Impact of Climate Change on Wheat Production for Ethanol in Southern Saskatchewan, Canada
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
The aim of EcoGrad, a research project conducted by VTT Technical Research Centre of Finland, was to develop a concept for the design of appropriate ecological neighborhoods for the city of St. Petersburg, Russia.A criteria list for ecological residential areas was developed together with local partners.Some differing aspects between Finnish and Russian criteria are pointed out in this paper.These are among others the attitude towards high-tech solutions, the norms regarding placement of services, and the lack of well functioning service concepts for operation and maintenance of facilities.Three pilot cases were also studied.A rough plan was made for the pilot areas including placement of buildings and services and transport solutions.Different scenarios for energy consumption and production systems were modeled and compared.Also emissions during the entire life cycle of the energy production processes were calculated with Global Emission Model for Integrated Systems (GEMIS).One of these pilot cases is described in this paper.During the project a questionnaire for residents in St. Petersburg was also made.It showed, among others, a poor willingness to pay for renewable energy and good indoor air.One of the major findings was a lack of policies and knowledge for certain renewable energy technologies and improved energy efficiency of buildings.
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 | 0.000 | 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 | 0.000 |
| 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