MétaCan
Menu
Back to cohort
Record W7062771461

a Visit to the Haunted Mansion in Kensington, PEI

2020· other· en· W7062771461 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2020
Typeother
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsnot available
Fundersnot available
KeywordsStatueStyle (visual arts)CreativityHarmony (color)
DOInot available

Abstract

fetched live from OpenAlex

The Haunted Mansion is a unique haunted house attraction found in Kensington, PEI.What makes the haunted mansion so special is both the over one hundred year old tudor style building it calls home and the passionate owner who's wit, ingenuity, and creativity bring the tour to life.Unlike many similar road side attractions, the haunted mansion favors home-made equipment over the lesser inspired store bought varieties. The end result is a one of a kind tour through a one of a kind building.In this episode of Nighttime we are going to get a behind the scenes tour of the Haunted Mansion from John Davison, the owner and creative force behind the Haunted Mansion.Links:https://hauntedmansionpei.ca/Haunted Mansion on Facebook - https://www.facebook.com/hauntedpei/Rainbow Valley Documentary - https://www.youtube.com/watch?v=eRaDEDvZGm0CBC article covering the stolen statue - https://www.cbc.ca/news/canada/prince-edward-island/pei-huge-haunted-head-heist-2019-1.5203135Credits:Musical Theme: Noir Tokyo by Monty Datta https://soundcloud.com/montydattaNighttime Links:Website: https://www.nighttimepodcast.comTwitter: https://twitter.com/NightTimePodFacebook: https://www.facebook.com/NightTimePodInstagram: https://www.instagram.com/nighttimepodPremium Feed: https://www.patreon.com/nighttimepodcastPodcast Recommendation:Talking About Cats: https://podcasts.apple.com/ca/podcast/talking-about-cats/id1524780972Premium Feed: https://www.patreon.com/NighttimepodcastSee omnystudio.com/listener for privacy information.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.093
Threshold uncertainty score0.999

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)0.1000.007

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 head0.006
GPT teacher head0.186
Teacher spread0.180 · 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; both teacher heads agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of Miscellaneous Information (Royal Gardens Kew)Same topicAdaptive optics and wavefront sensingFrench-language works237,207