Refactor spreadsheet handling to track corrections and defaults

Improved the backend's value cleaning to differentiate between corrections and defaults, logging metadata for clearer traceability. Updated frontend to display corrected/defaulted fields with visual cues and tooltips for better user feedback. Enhanced data models and response structures to support this richer metadata.

backend/app/sample_models.py

@@ -110,7 +110,10 @@ class SpreadsheetModel(BaseModel):
 class SpreadsheetResponse(BaseModel):
     data: List[SpreadsheetModel]  # Validated data rows as SpreadsheetModel instances
     errors: List[Dict[str, Any]]  # Errors encountered during validation
-    raw_data: List[Dict[str, Any]]  # Raw data extracted from the spreadsheet
+    raw_data: List[
+        Dict[str, Any]
+    ]  # perhaps this has to be changed with th actual model !
+    addinfo: List[Dict[str, Any]]
     dewars_count: int
     dewars: List[str]
     pucks_count: int