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Record W9530364

Return Value Prediction in a Java Virtual Machine

2004· article· en· W9530364 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicParallel Computing and Optimization Techniques
Canadian institutionsMcGill University
Fundersnot available
KeywordsMemoizationSTRIDEComputer scienceSpec#Benchmark (surveying)JavaContext (archaeology)TRACE (psycholinguistics)Operating systemArtificial intelligenceProgramming language
DOInot available

Abstract

fetched live from OpenAlex

For patients with pulmo-mediastinal malignancies, the antimetic effect of granisetron was studied in the following two ways. Firstly in the standard method, 40 micrograms/kg of granisetron was infused for 30 minutes, 30 minutes before CDDP infusion. Secondly, in the simultaneous method, granisetron was mixed with CDDP in a 500 microliters infusion bottle, and then infused over 0.5-3 hours. Over a 24-hour time course, significantly effective rates (nausea less than mild, and vomiting 2 times less) were 72.7% in the simultaneous group (n = 22) and 52.6% in the standard group (n = 19). The non-effective rates were 18.2% and 15.8%, respectively. Although the results were not statistically significant, the simultaneous method is easier to perform and it seems to confer a slightly better clinical outcome than the conventional method.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.722
Threshold uncertainty score0.261

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)0.0000.000

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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