Remove web/ prototype; update docs to reflect app integration

The web/ directory (bicorder-classifier.js, .d.ts, test-classifier.mjs)
was a prototype superseded by bicorder-app/src/bicorder-classifier.ts.
The only integration point between this analysis directory and the app is
bicorder_model.json, which Vite reads at build time.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

analysis/INTEGRATION_GUIDE.md

@@ -19,30 +19,18 @@ This ensures the web app and model stay in sync without complex backward compati
 
 ## Files
 
-- `bicorder_model.json` - Trained model parameters (5KB, embed in app)
-- `web/bicorder-classifier.js` - JavaScript implementation
-- `web/bicorder-classifier.d.ts` - TypeScript type definitions
+- `bicorder_model.json` - Trained model parameters (~5KB); read by `bicorder-app` at build time from `../analysis/bicorder_model.json`
+- `bicorder-app/src/bicorder-classifier.ts` - TypeScript classifier implementation (lives in the app, not here)
+
+The model is the only artifact produced by this analysis directory that the app consumes. Regenerate it after re-running analysis on the synthetic dataset:
+
+```bash
+python3 scripts/export_model_for_js.py data/readings/synthetic_20251116/readings.csv
+```
 
 ## Quick Start
 
-### 1. Copy Model File
-
-Copy `bicorder_model.json` to your web app's public/static assets:
-
-```bash
-cp bicorder_model.json ../path/to/bicorder/public/
-```
-
-### 2. Install Classifier
-
-Copy the JavaScript module to your source directory:
-
-```bash
-cp web/bicorder-classifier.js ../path/to/bicorder/src/lib/
-cp web/bicorder-classifier.d.ts ../path/to/bicorder/src/lib/
-```
-
-### 3. Basic Usage
+### Basic Usage
 
 ```javascript
 import { loadClassifier } from './lib/bicorder-classifier.js';
@@ -343,11 +331,11 @@ Check if enough key dimensions are provided.
 
 ## Testing
 
-Test the classifier with example protocols:
+Test the classifier with example protocols (run from within `bicorder-app`):
 
 ```javascript
-import { BicorderClassifier } from './bicorder-classifier.js';
-import modelData from './bicorder_model.json';
+import { BicorderClassifier } from './bicorder-classifier';
+import modelData from '../../analysis/bicorder_model.json';
 
 const classifier = new BicorderClassifier(modelData);
 
@@ -395,8 +383,4 @@ console.log(classifier.predict(boundary));
 
 ## Questions?
 
-See the test in `web/test-classifier.mjs` for working examples, or test with:
-
-```bash
-node web/test-classifier.mjs
-```
+See `bicorder-app/src/bicorder-classifier.ts` for the live implementation, and `bicorder-app/src/App.svelte` for how it's wired into the form.