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Record W6930020351 · doi:10.5281/zenodo.10641622

eic/EICrecon: v1.10.0

2024· other· en· W6930020351 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typeother
Languageen
FieldImmunology and Microbiology
TopicImmunotoxicology and immune responses
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsInterface (matter)CovarianceTracking errorPlanarControl theory (sociology)Position (finance)Header

Abstract

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<!-- Release notes generated using configuration in .github/release.yml at v1.10 --> What's Changed 🕸️ Tracking fix: rm Acts detail header for stable interface by @wdconinc in https://github.com/eic/EICrecon/pull/1187 fix: forward compatibility with Acts-v31 by @wdconinc in https://github.com/eic/EICrecon/pull/1188 Updated track seeding globaltoLocal() conversion by @bschmookler in https://github.com/eic/EICrecon/pull/1185 feat: migrate PhotoMultiplierDigi_factory to JOmniFactory by @wdconinc in https://github.com/eic/EICrecon/pull/1177 fixed Seed charge calculation by @Jeet-bhai in https://github.com/eic/EICrecon/pull/1213 Fix: Small change to phi difference calculation in seed charge determination by @bschmookler in https://github.com/eic/EICrecon/pull/1214 fix: convert TrackParamTruthInit to use DD4hep units by @wdconinc in https://github.com/eic/EICrecon/pull/1198 fix: use track direction in localToGlobal in TrackProjector by @wdconinc in https://github.com/eic/EICrecon/pull/1242 feat: forward support edm4eic version 5 by @wdconinc in https://github.com/eic/EICrecon/pull/1241 fix: explicitly set off-diagonal elements in the covariance matrices by @wdconinc in https://github.com/eic/EICrecon/pull/1244 treewide: cleanup EDM4eic 2.x deprecation, require at least 3.0 by @veprbl in https://github.com/eic/EICrecon/pull/1256 fix: use jacobian to convert bound covariance to free 3d position error by @wdconinc in https://github.com/eic/EICrecon/pull/1252 refactor: update to edm4eic v5.0.0 by @osbornjd in https://github.com/eic/EICrecon/pull/1278 Issue warning if surface not planar in draw surfaces by @rahmans1 in https://github.com/eic/EICrecon/pull/1274 🪪 Particle identification feat: convert MergeTracks to use algorithms:: interface (not yet omni) by @wdconinc in https://github.com/eic/EICrecon/pull/1234 MergeTracks.h: fix spelling by @veprbl in https://github.com/eic/EICrecon/pull/1236 feat: convert MergeParticleID to use algorithms:: interface by @wdconinc in https://github.com/eic/EICrecon/pull/1238 ParticlesWithPID: add associations from ReconstructedParticles to TrackParameters by @veprbl in https://github.com/eic/EICrecon/pull/1210 src/detectors: s/DigiHit/RawHit/g by @veprbl in https://github.com/eic/EICrecon/pull/1265 🚿 Calorimetry fix: adopt algorithms:: interface in CalorimeterHitsMerger by @wdconinc in https://github.com/eic/EICrecon/pull/1182 fix: adopt algorithms:: interface in CalorimeterIslandCluster by @wdconinc in https://github.com/eic/EICrecon/pull/1183 fix: adopt algorithms:: interface in CalorimeterHitReco by @wdconinc in https://github.com/eic/EICrecon/pull/1181 fix: rm unused GeoSvc from CalorimeterClusterRecoCoG by @wdconinc in https://github.com/eic/EICrecon/pull/1194 fix: better support for downstream CMake consumers by @wdconinc in https://github.com/eic/EICrecon/pull/1193 fix: convert ImagingClusterReco to algorithms interface by @wdconinc in https://github.com/eic/EICrecon/pull/1201 fix: convert EnergyPositionClusterMerger to algorithms interface by @wdconinc in https://github.com/eic/EICrecon/pull/1200 feat: convert CalorimeterTruthClustering to algorithms interface by @wdconinc in https://github.com/eic/EICrecon/pull/1199 fix: convert ImagingTopoCluster to algorithms interface by @wdconinc in https://github.com/eic/EICrecon/pull/1202 fix: convert TruthEnergyPositionClusterMerger to algorithms interface by @wdconinc in https://github.com/eic/EICrecon/pull/1208 CalorimeterClusterRecoCoG: copy hits references from ProtoCluster by @veprbl in https://github.com/eic/EICrecon/pull/1224 ZDC: LYSO + SiPM-on-tile by @sebouh137 in https://github.com/eic/EICrecon/pull/1221 Fix hit merging and add thresholds for backward HCal by @lkosarz in https://github.com/eic/EICrecon/pull/1250 Update CalorimeterClusterRecoCoGConfig: specify units for default value logWeightBase_Eref by @veprbl in https://github.com/eic/EICrecon/pull/1266 ⚙️ Infrastructure feat: set default CMAKE_BUILD_TYPE in CMakeLists.txt by @wdconinc in https://github.com/eic/EICrecon/pull/1191 feat: install capybara only when not available by @wdconinc in https://github.com/eic/EICrecon/pull/1110 feat: rm print_functions.cmake with non-standard macros by @wdconinc in https://github.com/eic/EICrecon/pull/1192 feat(ci): trigger eicweb container build for benchmarks by @wdconinc in https://github.com/eic/EICrecon/pull/471 linux-eic-shell.yml: don't install Bokeh and PyGitHub via pip by @veprbl in https://github.com/eic/EICrecon/pull/1230 linux-eic-shell.yml: delay posting capybara comment until pages are deployed by @veprbl in https://github.com/eic/EICrecon/pull/1243 linux-eic-shell.yml: fix capybara comment regressions by @veprbl in https://github.com/eic/EICrecon/pull/1245 fix(ci): run regularly on main by @wdconinc in https://github.com/eic/EICrecon/pull/1253 fix: avoid CI warnings by upgrading actions; add dependabot by @wdconinc in https://github.com/eic/EICrecon/pull/1258 fix(ci): don't trigger eic_container in merge queue by @wdconinc in https://github.com/eic/EICrecon/pull/1233 New Contributors @Jeet-bhai made their first contribution in https://github.com/eic/EICrecon/pull/1213 @sebouh137 made their first contribution in https://github.com/eic/EICrecon/pull/1221 @lkosarz made their first contribution in https://github.com/eic/EICrecon/pull/1250 @dependabot made their first contribution in https://github.com/eic/EICrecon/pull/1259 Full Changelog: https://github.com/eic/EICrecon/compare/v1.9.1...v1.10.0

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.682
Threshold uncertainty score0.454

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0060.006
Open science0.0090.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.6820.755

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 head0.025
GPT teacher head0.248
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

Classification

machine, unvalidated

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

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
Published2024
Admission routes1
Has abstractyes

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