MétaCan
Menu
Back to cohort
Record W4398678945 · doi:10.7910/dvn/aaf7ob

Executive Agreements Database, Statement Regarding the Agreement Between The United States and Canada Concerning Cooperation Between The U.S. National Aeronautics and Space Administration and the Canadian Space Agency of the Canadian Microgravity Isolation Mount, Signed At Washington and Ottawa on July 24 and July 28, 1997. Entered into Force by Exchange of Notes on July 31, 1997

2020· dataset· en· W4398678945 on OpenAlexaboutno aff
Oona A. Hathaway, Curtis A. Bradley, Jack L. Goldsmith

Bibliographic record

VenueHarvard Dataverse · 2020
Typedataset
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsnot available
Fundersnot available
KeywordsAdministration (probate law)Agency (philosophy)Space (punctuation)Statement (logic)Executive summaryPolitical scienceExecutive boardPublic administrationExecutive branchLawManagementSociologyPoliticsBusinessComputer scienceEconomicsSocial science

Abstract

fetched live from OpenAlex

KAV 6718 First signed 07/28/1997 Last signed 07/28/1997 Entry into force (supplemented by last signed) 07/31/1997 stamped 04-373 C06541277 cover memo

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)0.002
metaresearch head score (Gemma)0.013
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.917
Threshold uncertainty score0.405

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.019
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1210.157

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 head0.024
GPT teacher head0.248
Teacher spread0.225 · 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
GenreDataset

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 venueHarvard DataverseSame topicSpace exploration and regulationFrench-language works237,207