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Record W2622881

Secrets from the Monster: Extracting Mozilla’s Software Architecture

2000· article· en· W2622881 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
TopicSoftware Engineering Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsReverse engineeringComputer scienceSoftware engineeringSoftwareArchitectureSoftware systemSource codeVisualizationSoftware architectureProgramming languageWorld Wide WebArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

The authors present the results of clinicoroentgenological and immunological investigations of the state of lower limb soft tissues in 117 patients with diabetes mellitus. Vascular wall calcification and soft tissue edema were noted practically in all the patients with a period of disease over 1 year. X-ray investigation permitted the detection of vascular lesion at early stages of complication development, in most of the patients even at the preclinical stage. A degree of lower limb vascular lesion is not related to a type of diabetes mellitus and the patients' age. There is direct correlation between the affection of the walls of medium size vessels and vessels of the fundus of the eye. The frequency and severity of lower limb vascular lesion, polyneuropathy and nephropathy grow significantly with an increase in a period of disease. A parallel decrease of immunoglobulins is noted. The affection of osseous tissue does not depend on a period of disease and shows insignificant correlation with a degree of vascular lesion.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.976
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.236
Teacher spread0.223 · 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

Quick stats

Citations94
Published2000
Admission routes1
Has abstractyes

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