IESO Stakeholder Advisory Committee Minutes of Meeting
Bibliographic record
Abstract
Mr. Witjes welcomed everyone to the meeting, in person and joining via teleconference. He acknowledged representation from the Board of Directors and thanked them for their participation. Mr. Witjes noted that Craig Martin had relocated to Boston and has resigned from the Stakeholder Advisory Committee (the “Committee”). On behalf of the Committee, Mr. Witjes thanked Mr. Martin for his participation and contribution during his term representing the Generator sector. November 22, 2012 Public Page 1 of 13Mr. Witjes advised attendees that summary notes were posted on the IESO website of the previous meeting of the Committee, which was held to discuss plans for the proposed merger of the IESO with the Ontario Power Authority (OPA) under Bill 75. He invited questions, comments, and agenda items from observers at the appropriate times. There were no additions to the agenda. Agenda Item No. 2: IESO Senior Management Update – Bruce Campbell Mr. Campbell took the floor to provide an update to the Committee on several items. a) Renewable Integration Initiative (SE-91)
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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 | 0.024 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.174 | 0.084 |
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".