Bhārata Strata · Maharashtra · Gadchiroli · morphological twins
Places like cell 4750000007
The MH-36 locality cells most similar to this Gadchiroli cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.178
lower = more alike (weighted)
The twins, closest first
#1 · Gadchirolicell 4750000024
distance 0.178
#2 · Gadchirolicell 4750000009
distance 0.194
#3 · Gadchirolicell 4750000828
distance 0.311
#4 · Gadchirolicell 4750000008
distance 0.351
#5 · Gadchirolicell 4750000337
distance 0.355
#6 · Gadchirolicell 4750000006
distance 0.359
#7 · Nandurbarcell 4860001130
distance 0.367 · cross-district
#8 · Gadchirolicell 4750000695
distance 0.376
#9 · Gadchirolicell 4750000001
distance 0.377
#10 · Gadchirolicell 4750000183
distance 0.38
#11 · Dharashivcell 4880000565
distance 0.396 · cross-district
#12 · Gadchirolicell 4750000000
distance 0.397
#13 · Gadchirolicell 4750000659
distance 0.398
#14 · Gadchirolicell 4750000011
distance 0.399
#15 · Gadchirolicell 4750000293
distance 0.403
#16 · Gadchirolicell 4750000023
distance 0.407
#17 · Gadchirolicell 4750000860
distance 0.413
#18 · Gadchirolicell 4750000927
distance 0.415
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":475,"cluster_id":4750000007}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.