MLS Update on Niverville, Landmark, Oakbank, Dugald, Lorette, ile Des Chene, Grande Pointe May 20, 2021 Mp3
Bibliographic record
Abstract
Listen to this Podcast to find out!If you have any real estate questions please feel free to ask us.We are here to help you.If you like our videos please subscribe to our YouTube channel or like us on Facebook, follow us onInstagram, LinkedIn or Twitter.Stephen OlyniukAlicia OlyniukTeam OlyniukRe/Max Performance Realtystephen@teamolyniuk.comalicia@teamolyniuk.comStephen direct (204)981-2009Alicia direct (204)392-4262www.teamolyniuk.comIf you like our videos please subscribe to our YouTube 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/UCgbViD9THsgJ9A9OTukygZQMy Steinbach - https://www.mysteinbach.ca/homes/agent/team-olyniuk/RE/MAX - https://www.remax.ca/mb/stephen-olyniuk-117993-agRealtor.ca - https://www.realtor.ca/agent/1997123/stephen-olyniuk-942-st-marys-road-winnipeg-manitoba-r2m3r5Yelp - https://www.yelp.ca/biz/team-olyniuk-remax-performance-realty-winnipegRank My Agent - https://rankmyagent.com/stephenolyniuk/Rate my Agent - https://www.rate-my-agent.com/stephen-olyniuk-ratings-winnipeg-5728Winnipeg Real Estate News
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 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) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.606 | 0.024 |
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; both teacher heads agree on what is shown here.
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".