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Record W1964488353 · doi:10.3384/ecp11057644

Impact of Climate Change on Wheat Production for Ethanol in Southern Saskatchewan, Canada

2011· article· en· W1964488353 on OpenAlex
Hong Wang, Yong He, Budong Qian, B.G. McConkey, H. Cutforth, T. N. McCaig, Grant McLeod, R.P. Zentner, Con A. Campbell, R. M. DePauw, Reynald Lemke, Kelsey Brandt, Tingting Liu, Xiaobo Qin, Gerrit Hoogenboom, Jeffrey W. White, Tony Hunt

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLinköping electronic conference proceedings · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsUniversity of GuelphAgriculture and Agri-Food Canada
Fundersnot available
KeywordsGreenhouse gasElectricityClimate changePayback periodEnvironmental scienceEquity (law)Electricity generationProduction (economics)Natural resource economicsEnvironmental economicsAgricultural economicsBusinessEconomicsEngineeringOceanography

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.111
GPT teacher head0.260
Teacher spread0.149 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it