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Record W7028922059

Grunthal Manitoba Real Estate Market Report for all of 2021

2022· other· en· W7028922059 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2022
Typeother
Languageen
FieldComputer Science
TopicData Analysis with R
Canadian institutionsnot available
Fundersnot available
KeywordsReal estateEstateResidential real estateChannel (broadcasting)E-commerce
DOInot available

Abstract

fetched live from OpenAlex

Grunthal Manitoba Real Estate Market Report for all of 2021What a year it has been.Did you ever think Winnipeg average selling price for single detached homes would approach $400K?Are you wondering what you home might be worth? We can help you find out.Are you thinking of selling? Would like some professional advice?We have the systems in place to help you make all the right decisions and reduce the stress of selling your home.Turning Realty Into RealityIf you have any real estate questions feel free to ask us.We are here to help you.Book a call with us for a friendly consultation.Stephen and Alicia Olyniuk Team Olyniuk RE/MAX performance realty Stephen Cell 2049812009 Alicia Cell 2043924262stephen@teamolyniuk.comalicia@teamolyniuk.comIf you like our videos please subscribe to our You Tube channel or like us on Facebook, follow us onInstagram, LinkedIn or Twitter.Website - https://www.teamolyniuk.com/Facebook - https://www.facebook.com/teamolyniuk/Instagram - https://www.instagram.com/team_olyniuk_remaxperformance/?hl=enTwitter - https://twitter.com/teamolyniuk?lang=enPodcast - https://teamolyniuk.podbean.com/LinkedIn - https://www.linkedin.com/in/stephen-olyniuk-03806b48/?originalSubdomain=caYouTube -https://www.youtube.com/channel/UCgbViD9THsgJ9A9OTukygZQ#bestrealtorwinnipeg #bestrealtorsteinbach #whatsmyhomeworth #Howstherealestatemarket #howtosellmyhouse #sellingmyhome #howtosellmyhome

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.454
Threshold uncertainty score0.914

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2700.215

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 head0.007
GPT teacher head0.202
Teacher spread0.195 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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