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Record W2912306246 · doi:10.1107/s0108767318098318

<i>MxDC</i>, <i>MxLIVE</i> and <i>AutoProcess</i>: integrated user-friendly software for synchrotron MX beamlines

2018· article· en· W2912306246 on OpenAlexaffabout
Michel Fodje, Kathryn Janzen, Shaunivan Labiuk, James Gorin, Denis M. Spasyuk, Joel W. Reid, K. Mundboth, Paweł Grochulski

Bibliographic record

VenueActa Crystallographica Section A Foundations and Advances · 2018
Typearticle
Languageen
FieldEngineering
TopicParticle Accelerators and Free-Electron Lasers
Canadian institutionsCanadian Light Source (Canada)
Fundersnot available
KeywordsSynchrotronUser FriendlySoftwareOperating systemComputer scienceEngineering physicsPhysicsSoftware engineeringSystems engineeringNuclear engineeringEngineeringNuclear physics

Abstract

fetched live from OpenAlex

An integrated computer software system for on-site and remote collection of macromolecular crystallography (MX) data is described. It consists of a graphical user interface for experiment-focused data collection and beamline control MxDC, a laboratory information management system for remote planning, experiment monitoring and data access MxLIVE, and an automated pipeline for data reduction and strategy determination, AutoProcess. The system has been deployed at both MX beamlines at the Canadian Light Source since 2011 and has recently been updated with more features, modern user interfaces, and support for new beamline hardware.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: Software
Teacher disagreement score0.090
Threshold uncertainty score0.300

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0040.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0900.048

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 head0.007
GPT teacher head0.234
Teacher spread0.228 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreSoftware

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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