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Record W7140149248

Alberta Gambling Research Institute Conference 2021: Gambling in Canada: Current Research & Future Directions

2021· other· en· W7140149248 on OpenAlexaboutno aff
Eric Baich, Yale D. Belanger, Erika Chamberlain, Darren Christensen, L. Clark, Shawn R. Currie, Jeffrey Derevensky, Darcy Dixon, Mike Dixon, David Euston, Margo Hilbrecht, David C. Hodgins, Andrew Kim, Steve Lautischer, Bonnie Lee, Carrie Leonard, Darrel Manitowabi, Murray Marshall, Daniel McGrath, Fiona Nicoll, Samuel Ofori-Dei, Elisabeth Papineau, Barry Scholnick, Serge Sévigny, Will Shead, Rob Simpson, Rhys Stevens, Sherry Stewart, Nassim Tabri, Nigel Turner, Jamie Wiebe, Robert J. Williams, Michael J. A. Wohl, Igor Yakovenko, Matthew B. Young, Robert Aidelbaum, Sasha Allen, David Baxter, Brad W. Brazeau, Megan Cowie, Danika Dorchak, Mackenzie E. Dowson, Ashley R. Ethier, Nolan Gooding, Julie A. Gorenko, Marley HeavyShield, Hyoun S. Kim, Tyler B. Kruger, Chanel J. Larche, Catherine S. Laskowski, Jean‐Baptiste Leca, Diandra Leslie, Sean Mackey-Simpkin, Loredana Marchica, Marie-Audrey Peel, Noëlla Piquette, Emma V. Ritchie, Gillian Russell, Magdalen G. Schluter, Anthony Schoen, Maryam Sharif-Razi, Roxanne Sontag, Sasha Stark, Maegan Trottier, Sunghwan Yi

Bibliographic record

VenueOpen MIND · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPermissionEvent (particle physics)Current (fluid)Research ethicsQualitative researchHuman research
DOInot available

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.221
Threshold uncertainty score0.739

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0050.001
Scholarly communication0.0080.002
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.2210.031

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 head0.471
GPT teacher head0.508
Teacher spread0.037 · 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
Published2021
Admission routes1
Has abstractyes

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