AuraMineClosure Intelligence Platform

Model & Method

Nothing here is a black box. Each model states what it is, what it learned from, how well it performs, and where it should not be trusted.

Standing inferences

8

Mean confidence

0.74

Domains fused

5

Hydrology, geoscience, bioscience, remote sensing, social

Models in use

ModelApproachTrained onPerformanceWeakest where
Proxy regression (pH + EC → dissolved copper)Gradient-boosted regression98 paired laboratory and in-situ samples, 2022–2026R² 0.83, RMSE 0.19 mg/LAbove 1.2 mg/L copper and during first-flush wet-season events
Source separation (chemistry + eDNA)Unsupervised clustering with chemistry constraints9 eDNA libraries, 98 water samplesSilhouette 0.61; SN5 separates on every runSingle dry-season eDNA epoch; no wet-season replicate
Recovery forecastState-space trend model with treatment term9 quarterly rounds at SN5, one intervention recordBacktest MAPE 11% at 2 quarters, 26% at 6 quartersTreatment media exhaustion timing is unobserved
Revegetation prioritisationMulti-criteria ranking with learned weights29 soil samples, 6 plant records, 2 survey epochsRank agreement with expert panel: 5 of 6Substrate depth inferred from surface change, not measured

Known data gaps

  • No wet-season eDNA epoch — source separation is dry-season evidence only.
  • Remote sensing is the oldest domain at 5 months; change rates are two-epoch steps, not trends.
  • Dry-season irrigation abstraction is modelled, not metered.
  • Zone A crop tissue sampling is below the threshold needed to issue guidance.
  • Zones D and E are suppressed at n<10, so no zone-level social signal exists for them by design.

Human-in-the-loop boundary

Machine

Detects change, correlates across domains, forecasts trajectories, ranks by materiality, drafts plain language, and schedules the conversation.

Human

Decides. Weighs community priority against cost and risk, approves what is published, and owns the consequence. No decision in this platform executes without a person recording why.

Remote sensing epochs

  • 2025-09-14Drone LiDAR DEM + 5-band multispectral
  • 2026-02-27Drone LiDAR DEM + 5-band multispectral

eDNA libraries

  • SN5 — AMD-impactedAcidithiobacillus spp.
  • SN5 — AMD-impactedLeptospirillum spp.
  • SN6 — TransitionalFerrovum spp.
  • SN4 — TransitionalGallionella spp.
  • SN3 — TransitionalSideroxydans spp.
  • SN1 — Clean waterFlavobacterium spp.
  • SN2 — Clean waterPolaromonas spp.
  • SN7 — Clean waterRhodoferax spp.
  • SN8 — Clean waterLimnohabitans spp.

Geoscience site classes

  • ControlPLI 0.4
  • Tailings Storage FacilityPLI 6.8
  • Waste Dump APLI 4.9
  • Waste Dump BPLI 5.6
  • Bugtong FarmPLI 1.9