Update README.md

README.md

@@ -24,7 +24,7 @@ size_categories:
 This dataset provides **synthetic interaction traces** for studying **mixed-initiative decision making** under uncertainty, with **attention-sensitive interruption costs** and **decision-theoretic thresholds** inspired by ideas in Eric Horvitz’s CHI’99 *LookOut* work.
 
 **Source code:**  
-https://github.com/kartoun/Mixed-Initiative-Lookout-CHI99
+https://github.com/DBbun/Mixed-Initiative-Lookout-CHI99
 
 **Developed by DBbun LLC — January 2026.**
 
@@ -48,7 +48,7 @@ A reproducible, decision-theoretic benchmark where each episode logs (i) calibra
   Calibration metrics (AUROC, ECE), monotonicity checks, baseline policy comparisons, and diagnostics.
 
 - **`mixed_initiative_traces.config.json`**  
-  Full generator configuration including random seed, utilities, attention model parameters, and constraints.
+  Full generator configuration including random seed, utility matrices, attention model parameters, and constraints.
 
 ---
 
@@ -133,7 +133,7 @@ Each row represents a **single mixed-initiative decision episode**.
   Whether the suggested action was actually appropriate.
 
 - **`p_true`** *(float, 0–1)*  
-  Calibrated posterior probability of correctness.
+  Calibrated posterior probability of correctness derived from latent evidence.
 
 - **`p_model`** *(float, 0–1)*  
   Agent’s reported belief after miscalibration.
@@ -211,34 +211,45 @@ Each row represents a **single mixed-initiative decision episode**.
 
 ### Expected utilities
 
-These fields store the **expected utility values computed at decision time**, before sampling the user response. They are the quantities used by the policy to choose an action.
+These fields store the **expected utility values computed at decision time**, before sampling the user response.  
+They are the quantities used by the policy to choose an action.
 
 - **`eu_no_action`** *(float)*  
   Expected utility of taking **no action**, balancing avoided interruption cost against delay or missed-opportunity cost.
 
 - **`eu_action`** *(float)*  
-  Expected utility of taking the **primary action immediately**, combining benefit, error penalty, and interruption cost.
+  Expected utility of taking the **primary action immediately**, combining expected benefit, error penalty, and interruption cost.
 
 - **`eu_dialog`** *(float)*  
   Expected utility of initiating **dialog or clarification**, trading lower risk for a chance to improve correctness.
 
 - **`eu_scope`** *(float)*  
-  Expected utility of taking a **scoped or partial action**, providing reduced risk with partial benefit.
+  Expected utility of taking a **scoped or partial action**, providing reduced downside risk with partial benefit.
 
 ---
 
 ### Analytic decision thresholds
 
-Each threshold represents the **minimum belief probability** at which one action dominates another in expected utility.
+Each threshold represents the **minimum belief probability (`p_model`)** at which one action dominates another in **expected utility**.  
+All thresholds are computed **analytically** from the utility model.
 
-- **`p_star_noaction_action`**
-- **`p_star_noaction_dialog`**
-- **`p_star_dialog_action`**
-- **`p_star_noaction_scope`**
-- **`p_star_scope_action`**
-- **`p_star_scope_dialog`**
+- **`p_star_noaction_action`** *(float, 0–1)*  
+  Threshold above which **action** is preferable to **no action**.
 
-All thresholds are analytic and derived directly from the utility model.
+- **`p_star_noaction_dialog`** *(float, 0–1)*  
+  Threshold above which **dialog** is preferable to **no action**.
+
+- **`p_star_dialog_action`** *(float, 0–1)*  
+  Threshold above which **action** is preferable to **dialog**.
+
+- **`p_star_noaction_scope`** *(float, 0–1)*  
+  Threshold above which **scope** is preferable to **no action**.
+
+- **`p_star_scope_action`** *(float, 0–1)*  
+  Threshold above which **action** is preferable to **scope**.
+
+- **`p_star_scope_dialog`** *(float, 0–1)*  
+  Threshold above which **dialog** is preferable to **scope**.
 
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