Bibliographic record
Abstract
Turing v0.9.1 Diff since v0.9.0 Closed issues: Juno Progress Metres (#799) Build an offical docker for Turing (#1113) strange sort of parameter names and values in calling describe with 'sections' (#1132) Failure working with MH sampler and MvNormal (#1133) Question: Use of the term multivariate regression in linear regression tutorial (#1143) Tidy up benchmarking scripts (#1144) Question: WARNING: could not import MCMCChains.AbstractChains into Turing ERROR: LoadError: LoadError: UndefVarError: AbstractChains not defined (#1150) Libtask error: setindex! not defined for TArray{Float64,1} (#1155) Missing method invlink in Bijectors 0.6 (#1158) Add compiler doc to navigation (#1159) side navigation bar not working on team page - https://turing.ml/dev/team/ (#1161) Broken link on https://turing.ml/dev/docs/using-turing/dynamichmc (#1171) Merged pull requests: Zygote AD backend (#783) (@mohamed82008) Dockerfile for the Turing (latest, 0.8.3) (#1120) (@KDr2) Fix links to websites (#1130) (@devmotion) Use concrete types for fields of ADVI (#1131) (@devmotion) Use ProgressLogging instead of ProgressMeter (#1134) (@devmotion) Fix MH indexing bug (#1135) (@cpfiffer) Update dockerfile for new release (#1138) (@KDr2) Use Nanosoldier.jl to run benchmarks (#1142) (@KDr2) Use EllipticalSliceSampling (#1145) (@devmotion) Tidy up benchmark files (#1146) (@KDr2) Update my info on website (#1147) (@mohamed82008) Provide default progress loggers (#1149) (@devmotion) Move default model evaluation code to DynamicPPL (#1151) (@phipsgabler) Update members.yml (#1152) (@phipsgabler) CompatHelper: bump compat for "Bijectors" to "0.6" (#1153) (@github-actions[bot]) Disable progress logs in tests (#1156) (@devmotion) Add compiler doc to website (#1160) (@cpfiffer) Move doc files to src/for-developers (#1162) (@cpfiffer) Fixed LinkedIn links (#1163) (@cpfiffer) Save transitions of samplers in Gibbs sampling (#1166) (@devmotion) Fix MH sampler for arrays of distributions (#1167) (@devmotion) FIX: bijector currently returns inverse of what it claims (#1168) (@torfjelde) Do not store transitions in Gibbs sampler (#1169) (@devmotion) ReverseDiff support (#1170) (@mohamed82008) Correct Gibbs link (#1174) (@cpfiffer) Update HISTORY.md (#1177) (@cpfiffer)
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.021 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.586 | 0.750 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".