Bibliographic record
Abstract
AC interconnectors 182 AC power lines 109, 118 access charges 205, 221 access rights 221 access rules 153, 233, 235, 241, 257-8 'active' TSOs 234, 239 incentives for 239 airline industry 65 Alberta mixing planned and merchant transmission in 119 MW-mile charges in 107 transmission network organization in 148 zero-congestion policy in 91, 102, 119 algorithms 246 alternating current (AC) power lines 109, 118 altitude over sea level 273-3, 274 aluminium-zirconium wires 115 amortization charges 162 ancillary services, cost of provision of 146, 272, 273, 274, 275 Anderson, D. 67 arbitrage 16, 155, 188 areas of influence method 250 Areva 72, 79 Argentina transmission investment in 235 transmission network organization in 148 transmission pricing in 249, 250 association of European Transmission System Operators (ETSO) 187, 264 asymmetry of information 121-4, 151-2, 192, 193, 224 attributes of transmission investments 136-47 auctions 88, 109, 111, 118, 163, 168, 191, 221, 233, 234, 235, 236 Australia energy only market in 39-40 HVDC link with 141, 155 transmission investment in 155 transmission pricing in 249 Australian Competition and Consumer Commission 237 Austria net inter-TSO payment of 267, 271 transmission pricing in 265, 266, 271 average cost of transmission 253-4 average participation (AP) method 11, 263-4, 267, 268, 275, 283-5 Averch, H. 66-7 Bailey, E. 66 balancing market 158, 160, 163, 166 Bar-Ilan, A. 33-4 Barthold, L.O. 115 base-load plants 3-4, 22-30, 43, 49 Beesley, M. 66 Belgium cost of capital in 76 generation investment in 70, 72 net inter-TSO payment of 271 transmission pricing in 265, 266, 271 Ben-Tal, A. 209 benchmarking 135, 162, 164, 180 benefit/cost ratios 172,
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 teacher head, 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".