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Record W2155678816 · doi:10.1002/minf.201200171

Rendering Molecular Sketches for Publication Quality Output

2013· article· en· W2155678816 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

VenueMolecular Informatics · 2013
Typearticle
Languageen
FieldComputer Science
TopicComputational Drug Discovery Methods
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsRendering (computer graphics)Computer scienceCheminformaticsComputer graphics (images)File formatGraphicsSoftwareComputer graphicsComputational scienceEngineering drawingDatabaseProgramming languageBioinformaticsEngineering

Abstract

fetched live from OpenAlex

The creation of 2D molecular structure diagrams that make full use of the capabilities of modern display systems, using only input data expressed in file formats used for cheminformatics, is a complex task that requires a number of additional algorithms. Assuming that atom positions have been well chosen, the rendering engine is required to micromanage the precise positioning of atom labels, bonds and atom adjuncts, in such a way that the final output is correct, consistent with convention, and as pleasing to the eye as a diagram produced by a graphic designer. The techniques must be equally applicable when creating output for low-resolution screens and high resolution printed output, and make use of contemporary graphics file formats in such a way that the largest possible number of software platforms are able to display the output at any resolution without degradation or inconsistency. The main issues involved in meeting these criteria are discussed, and algorithms for satisfying them are presented.

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)0.001
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: Methods
Teacher disagreement score0.829
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
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 head0.037
GPT teacher head0.320
Teacher spread0.283 · 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