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Record W2776889635

The L-system-based plant-modeling environment L-studio 4.0

2004· article· en· W2776889635 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGreenhouse Technology and Climate Control
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsStudioComputer scienceOperating systemInterface (matter)Graphical user interfaceMicrosoft Visual StudioVirtual machineUser interfaceSet (abstract data type)Microsoft WindowsSoftware engineeringHuman–computer interactionComputer graphics (images)Programming languageSoftware
DOInot available

Abstract

fetched live from OpenAlex

L-studio and the Virtual Laboratory (Vlab) are two related plant modeling packages developed at the University of Calgary, Canada. They have been distributed by this University since 1999. The packages run on Windows and Linux machines, respectively, have similar functionality, and support the exchange of models between both systems. The main difference between these systems is the user interface, which is designed to meet the different expectations of Windows or Linux users. Below we outline the most recent version of L-studio (4.0) (Fig. 1). The package consists of: (a) two L-system-based simulation programs, cpfg and lpfg; (b) a modeling environment that provides auxiliary modeling tools; (c) a library of programs for simulating environmental processes that affect plant development; (d) a set of sample models; and (e) a graphical browser for organizing and accessing models on both local and remote machines.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score0.421

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 studies0.0010.000
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 head0.013
GPT teacher head0.165
Teacher spread0.152 · 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

Citations67
Published2004
Admission routes2
Has abstractyes

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