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Record W2239313659 · doi:10.11575/prism/17658

The 2DR-tree: a 2-dimensional spatial access method

2004· dissertation· en· W2239313659 on OpenAlex
Wendy Osborn

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePRISM (University of Calgary) · 2004
Typedissertation
Languageen
FieldComputer Science
TopicData Management and Algorithms
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsNode (physics)AlgorithmComputer scienceMathematicsBounding overwatchTree (set theory)Partition (number theory)Time complexityBinary numberTheoretical computer scienceCombinatoricsArtificial intelligence

Abstract

fetched live from OpenAlex

A new hierarchical spatial access method called the nDR-tree is proposed that preserves all spatial relationships between all objects in n-dimensional space.The nDRtree fits the existing data by using nodes that are the same dimensionality.The two-dimensional version, the 2DR-tree, is presented.The 2DR-tree uses twodimensional nodes to index two-dimensional data.The minimum bounding rectangles in each node are organized according to a "validity rule" that preserves spatial relationships.This provides support for both binary searching that takes advantage

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.977
Threshold uncertainty score0.737

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 communication0.0000.001
Open science0.0030.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.247
Teacher spread0.235 · 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