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[DORA 2.0] Step 3: Select Deposit Type

Learn how to choose the deposit model that aligns with your target mineral system.

Updated yesterday

Overview

In this step, you select the deposit type that best reflects your exploration target.

Each deposit type corresponds to a model trained on large datasets from a specific mineral system. Selecting the appropriate deposit type ensures the model applies relevant geological context to your data.

Note: DORA 2.0 is not yet available. The changes described below will be released in an upcoming update.


What’s Improved

This step has been streamlined to make model selection faster and more intuitive.

Advanced configuration settings have been removed, so you no longer need to manage training parameters. DORA now handles model optimization automatically, helping you move from setup to generating results more quickly.


Why This Step Matters

Geoscience Perspective

Choosing the correct deposit type ensures the model is grounded in a mineral system similar to your target. This helps isolate geological patterns that may not be immediately visible in raw data.

If you are unsure, select the Deposit Agnostic Model, which has been trained across multiple deposit types.

AI Perspective

The selected model has already been trained on large datasets and adapts to your AOI using your input features and learning data. This allows DORA to generate predictions that reflect both global mineral system knowledge and your local dataset.


Step by Step Instructions

  1. Open Select Deposit Type

    • From the experiment setup panel, click Step 3: Select Deposit Type.

  2. Select a Deposit Type

    • From the dropdown, choose the model that best aligns with your target mineral system.

    • If you’re unsure which model to choose, select the Deposit Agnostic Model. It’s been trained on a variety of deposit types.

    • Select Custom Model if your deposit is highly unique and you want to train a model from scratch.

  3. Complete Step

    • Click Apply Deposit Type.

    • This step takes approximately 5-10 minutes to complete.

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