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features: F2-055-S114

The final dataset: one capability statement per row, each with a verbatim excerpt of the archived documentation it rests on. This is release/features.csv.

Data license: Not yet licensed — internal review only · Data source: Ahmed ElBatanony, Innopolis University

This data as json

feature_id app_id statement form excerpt source_url source_file source_sha256 found_by found_by_runs verification pipeline_id audited audit_correct audit_note
F2-055-S114 F2-055 The system automatically flags unusual values in procedure fields and meter readings using machine learning. automation Anomaly Detection uses machine learning trained on historical maintenance data to automatically flag unusual values in procedure fields and meter readings. https://help.getmaintainx.com/ai-basics 10.txt a2001900898655c1fa96c74b5dea8149898ec9e43199e28b2d32152a00440e4f extract-a both confirmed F2-055-A115 0.0    

Links from other tables

  • 0 rows from feature_id in audit
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