microplastinet / src /m3_graph_gnn /checkpoints /sample_attribution.json
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Initial deploy: MicroPlastiNet Dash dashboard (synthetic data, honest disclosure)
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{
"station": {
"id": 5,
"label": "station_005",
"lat": 32.387228,
"lon": -81.531029,
"river": "savannah"
},
"timestamp": "2023-07-15",
"method": "integrated_gradients",
"sources": [
{
"rank": 1,
"node_id": 106,
"node_type": "urban_runoff",
"label": "urban_runoff_026",
"lat": 32.327485,
"lon": -81.67375,
"attribution_probability": 0.358336
},
{
"rank": 2,
"node_id": 81,
"node_type": "urban_runoff",
"label": "urban_runoff_001",
"lat": 32.285734,
"lon": -81.657497,
"attribution_probability": 0.337717
},
{
"rank": 3,
"node_id": 101,
"node_type": "urban_runoff",
"label": "urban_runoff_021",
"lat": 32.3606,
"lon": -81.744086,
"attribution_probability": 0.147177
},
{
"rank": 4,
"node_id": 115,
"node_type": "agricultural_runoff",
"label": "agri_runoff_000",
"lat": 32.497624,
"lon": -81.568536,
"attribution_probability": 0.11507
},
{
"rank": 5,
"node_id": 91,
"node_type": "urban_runoff",
"label": "urban_runoff_011",
"lat": 32.470751,
"lon": -81.760802,
"attribution_probability": 0.041701
}
]
}