feat: Add AtomizerField training data export and intelligent model discovery
Major additions: - Training data export system for AtomizerField neural network training - Bracket stiffness optimization study with 50+ training samples - Intelligent NX model discovery (auto-detect solutions, expressions, mesh) - Result extractors module for displacement, stress, frequency, mass - User-generated NX journals for advanced workflows - Archive structure for legacy scripts and test outputs - Protocol documentation and dashboard launcher 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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archive/temp_outputs/calibration_history.json
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archive/temp_outputs/calibration_history.json
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[
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{
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"iteration": 1,
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"n_training_samples": 55,
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"confidence_score": 0.48,
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"mass_mape": 5.199446351686856,
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"freq_mape": 46.23527454811865,
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"avg_selected_uncertainty": 0.3559015095233917,
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"status": "LOW_CONFIDENCE"
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},
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{
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"iteration": 2,
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"n_training_samples": 60,
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"confidence_score": 0.6,
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"mass_mape": 5.401324621678541,
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"freq_mape": 88.80499920325646,
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"avg_selected_uncertainty": 0.23130142092704772,
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"status": "MEDIUM_CONFIDENCE"
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},
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{
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"iteration": 3,
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"n_training_samples": 65,
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"confidence_score": 0.6,
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"mass_mape": 4.867728649442469,
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"freq_mape": 76.78009245481465,
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"avg_selected_uncertainty": 0.17344236522912979,
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"status": "MEDIUM_CONFIDENCE"
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}
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]
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