features: F2-055-S114
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