Grunthal Manitoba Real Estate Market Report for all of 2021
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.270 | 0.215 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".