Edge Grades — Phase 2A.2 + 2A.3 Audit

Distribution of GATING / STRONG / WEAK / NEGATIVE / DROP grades across the 1010 scenario→prediction edges. The grader (Phase 2A.2) rebalances each cosine-discovered correlate edge into a strength band; the keyword linker (Phase 2A.3) adds direct edges for predictions cosine missed. See /graph/dag fork views for the resulting differentiation.

Total scenario→pred edges
1177
Manual prereq (untouched)
247
weight ≈1.0
GATING
248
w=0.7 p_pos=0.85
STRONG
188
w=0.5 p_pos=0.75
WEAK
140
w=0.3 p_pos=0.65
NEGATIVE
22
w=0.4 p_pos=0.30
DROP
165
w=0.05 (neutralized)
Phase 2A.3 keyword-added
27
for isolated high-conv preds

Per-scenario grade distribution

Sorted by GATING count desc; clicking a scenario opens its fork view.
ScenarioFamilyTotalGATSTRWEAKNEGDROP2A.3
S_HUMANOID_MASS_2033Humanoid deployment372197
S_HUMANOID_FACTORY_2026Humanoid deployment322192
S_COMPUTE_100GW_2030Compute scale391714512
S_HUMANOID_CONSUMER_2030Humanoid deployment3316881
S_AGI_WINTER_2036PLUSAGI38151211
S_IPO_TRILLION_2026$1T+ IPO3415955
S_IPO_TRILLION_2027$1T+ IPO2915437
S_AGI_MID_2029AGI38141446
S_GRID_50GW_2027Energy / grid40121882
S_HUMANOID_ENTERPRISE_2028Humanoid deployment371291231
S_ASI_SLOW_2040PLUSASI2711142
S_MARS_2026Mars uncrewed191027
S_AGI_FAST_2027AGI3196619
S_AGI_SLOW_2031AGI278757
S_MARS_2028Mars uncrewed2683141
S_MARS_2031PLUSMars uncrewed238312
S_ROBOTAXI_TESLA_2026Robotaxi2262113
S_COMPUTE_10GW_2028Compute scale2651443
S_COMPUTE_1GW_2027Compute scale19510211
S_ROBOTAXI_MASS_2030Robotaxi165434
S_IPO_TRILLION_2028$1T+ IPO1349
S_ASI_MID_2034ASI2221235
S_ROBOTAXI_NATIONWIDE_2028Robotaxi927
S_ASI_FAST_2031ASI7241
S_COMPUTE_STARGATE_FAILURECompute scale6213
S_NO_RECESSION_5YRecession191711
S_RECESSION_2026Recession111262
S_GRID_50GW_2029Energy / grid61311
S_NO_AI_PAUSE_5YAI pause231265
S_AI_PAUSE_2026AI pause211263
S_AI_PAUSE_2028AI pause19757
S_AI_PAUSE_2027AI pause14257
S_RECESSION_2027Recession927
S_GRID_50GW_DELAYEDEnergy / grid853
S_RECESSION_2028Recession725
S_ROBOTAXI_DELAYEDRobotaxi211
S_IPO_TRILLION_NONE_5Y$1T+ IPO11

How to read this

  • GATING (green) — edge fires strongly when the scenario is clamped TRUE. p_pos=0.85 contributes ~+1.36 logits at weight 0.7.
  • STRONG (blue) — moderate push. p_pos=0.75 × weight 0.5 ≈ +0.55 logits.
  • WEAK — Phase 2A default before grading. p_pos=0.65 × weight 0.3 ≈ +0.19 logits. ~7× weaker than GATING.
  • NEGATIVE (amber) — anti-correlated. p_pos=0.30 (FALSE more likely under TRUE clamp). Used for AI Pause × AI advancement predictions.
  • DROP — spurious cosine match neutralized at weight 0.05. Effectively no edge.
  • 2A.3 (purple) — keyword-linked from link_isolated_high_conviction.py; carries the same grade taxonomy.
  • Scenarios with high GATING + STRONG counts produce the largest fork-lane "avg shift" signals. Scenarios with mostly DROP rows are inherently sparse (NONE/FAILURE/DELAYED counterfactuals).