Bibliographic record
Abstract
What's Changed Enhancement: Automatically generate opchar matrix image from CSV, and other doc fixes by @milindsmart in https://github.com/blue-marble/gridpath/pull/1108 Enhancement: Allow soft unavailable hours per period constraint by @anamileva in https://github.com/blue-marble/gridpath/pull/1105 Enhancement: Variable costs by period by @anamileva in https://github.com/blue-marble/gridpath/pull/1107 Bugfix: Fix get_inputs_from_database for reserves percent requirements by @Janie115 in https://github.com/blue-marble/gridpath/pull/1120 Bugfix: Fix get_inputs_from_database for elcc surface facets by @Janie115 in https://github.com/blue-marble/gridpath/pull/1121 Bugfix: Fix get_inputs_from_database for carbon credits params AND avoid trying to load info from project_carbon_credits.tab if the file does not exist by @Janie115 in https://github.com/blue-marble/gridpath/pull/1122 Bugfix: Fix to carbon credit purchase inputs by @Janie115 in https://github.com/blue-marble/gridpath/pull/1128 Bugfix: Fixes to capacity transfers inputs by @Janie115 in https://github.com/blue-marble/gridpath/pull/1126 Enhancement: Add USE threshold for RA statistics by @anamileva in https://github.com/blue-marble/gridpath/pull/1134 Enhancement: Support single iterations with non-0 ID by @anamileva in https://github.com/blue-marble/gridpath/pull/1141 Maintenance: Refactor loading of model data by @anamileva in https://github.com/blue-marble/gridpath/pull/1143 Maintenance: Reformulate gen_var optype by @anamileva in https://github.com/blue-marble/gridpath/pull/1144 Enhancement: Actually allow var negative power by @anamileva in https://github.com/blue-marble/gridpath/pull/938 Maintenance: Make all objective functions dictionaries for testing by @anamileva in https://github.com/blue-marble/gridpath/pull/1145 Enhancement: Performance standards in t/MW by @Janie115 in https://github.com/blue-marble/gridpath/pull/1146 Bugfix: Fix db_schema for relative capacity by @Janie115 in https://github.com/blue-marble/gridpath/pull/1150 Bugfix: Fixes in transmission targets by @Janie115 in https://github.com/blue-marble/gridpath/pull/1155 Bugfix: Fix get hydro op chars and tmp opr inputs from db by @Janie115 in https://github.com/blue-marble/gridpath/pull/1153 Maintenance: Improvements to hydro inputs handling by @anamileva in https://github.com/blue-marble/gridpath/pull/1156 Bugfix: Fix duplicate timepoint inputs with spinup/lookahead by @anamileva in https://github.com/blue-marble/gridpath/pull/1157 Feature: Created instantaneous penetration optional feature by @alexrob18 in https://github.com/blue-marble/gridpath/pull/1148 Bugfix: Fix availability derate bug with iterations by @anamileva in https://github.com/blue-marble/gridpath/pull/1158 Docs: Update RA Toolkit README by @anamileva in https://github.com/blue-marble/gridpath/pull/1160 New Contributors @alexrob18 made their first contribution in https://github.com/blue-marble/gridpath/pull/1148 Deprecation Notice The UI will be deprecated in 2025 in favor of an easier-to-maintain and more flexible approach. Full Changelog: https://github.com/blue-marble/gridpath/compare/v2024.1.0...v2024.2.0
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 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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.531 | 0.606 |
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".