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Record W12713029 · doi:10.1385/bter:91:1:57

Temporally-expressive planning as constraint satisfaction problems

2007· article· en· W12713029 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

VenueInternational Conference on Automated Planning and Scheduling · 2007
Typearticle
Languageen
FieldComputer Science
TopicAI-based Problem Solving and Planning
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer sciencePlannerSemantics (computer science)Encoding (memory)Constraint programmingConstraint (computer-aided design)Automated planning and schedulingConstraint satisfactionFocus (optics)Scheduling (production processes)Temporal logicArtificial intelligenceTheoretical computer scienceProgramming languageMathematical optimizationMathematics

Abstract

fetched live from OpenAlex

To elucidate compositional changes of the tendons with aging, the authors investigated age-related changes of element contents in the tendon of the iliopsoas muscle by inductively coupled plasma-atomic emission spectrometry. The subjects consisted of 14 men and 14 women, ranging in age from 4 to 102 yr. The insertion tendons of the iliopsoas were removed from the cadavers after ordinary dissection and also surgically from patients with congenital dislocation of the hip. It was found that both Mg and P in the tendon of the iliopsoas muscle increased significantly with aging, but the other elements, such as S, Ca, Na, Zn, Fe, and Si, hardly changed with aging. With regard to the relationship among element contents, extremely significant correlations were found between P and S contents, between Mg and Na contents, and between S and Zn contents. In addition, very significant correlations were found between Si and either S or Zn contents. However, there was no significant correlation between Ca and P contents. These results revealed that with regard to age-related changes of element contents and the relationships among element contents, the tendon of the iliopsoas muscle was different from the Achilles tendon, in which both Mg and P decreased significantly with aging and there were significant correlations each other among the contents of S, Mg, and P.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.326
Teacher spread0.280 · 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