Toronto Congress Centre Attendees:
Bibliographic record
Abstract
• Finalize the draft ToR Bill Wilbur reviewed the draft terms of reference. There was a request that wording in the Business Practices section regarding how the IMO deals with advice of the Intertie TSC be changed and that a market participant be chosen to chair the meetings. General discussion of the terms of reference ensued including the role of the Intertie TSC. Chair agreed to change wording and develop new wording prior to the end of the meeting. Chair advised that the Intertie TSC is part of the IMO’s consultation process and that a change of who chairs the meetings needs to be raised outside of the Intertie TSC. Suggested that Al Findlay be contacted in this regard. Agenda Item #2: Boundary Entity Resource Consolidation Plan Bill Wilbur made the presentation, which summarised a plan to reduce the number and simplify the use of Boundary Entity Resources, which is to be implemented December 10, 2003. 1 Intertie Trading Sub-Committee of the IMO
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.552 | 0.395 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".