SN System Properties Reference
Property reference

glide.platform_ml_di.doc_data_extractor.autofill_threshold

The glide.platform_ml_di.doc_data_extractor.autofill_threshold property sets the minimum score required for candidates to be automatically populated. Admins should review this setting to ensure optimal candidate selection based on scoring criteria, especially when adjusting related properties.

Default
0.01
Type
string
Application
Global

Key questions about this property

The answers below summarize the purpose, scope, default effect, and review scenarios for this property.

What does it do? This property defines the score threshold that must be met for candidates to be autofilled in the system, impacting candidate selection efficiency.
What area does it affect? Candidate Autofill Functionality
What does the default mean? The default value is "0.01", which is the baseline setting used unless it is changed.
When should you review it? Review this property when adjusting candidate scoring parameters or optimizing the autofill process.

Out of the box property record

Raw metadata from the property record.

Property name glide.platform_ml_di.doc_data_extractor.autofill_threshold
Sys ID c13772626f60211049ef9d97345b36bf
Type string
Application Global
Default value 0.01
Description Minimum score threshold required to autopopulate candidates
Updated 2023-04-13 06:35:22

Sources

Official references and nearby text excerpts where this property appears.

More in glide.platform_ml_di

Other properties in the same namespace.

glide.platform_ml_di.doc_classifier.max_number_of_pdf_pages This property limits the number of pages that the document classifier can process from a single PDF file, with glide.platform_ml_di.doc_classifier.max_number_of_task_images This property limits the number of images allowed for prediction processing in tasks, impacting how documents glide.platform_ml_di.doc_classifier.min_number_of_training_samples_per_class It specifies the minimum training samples needed per class to optimize document classification performance. glide.platform_ml_di.doc_classifier.mle_component_version This property sets the version number for the machine learning workflows associated with the DocClassifier, im glide.platform_ml_di.doc_data_extractor.batch_size_for_upgrade This property defines the number of records processed in each batch during the upgrade data extraction process glide.platform_ml_di.doc_data_extractor.client_side.rescoring This boolean property determines whether client-side rescoring is allowed for keygroups, impacting how data is glide.platform_ml_di.doc_data_extractor.days_between_advanced_training_jobs It defines the minimum interval in days between consecutive advanced training jobs to prevent resource content glide.platform_ml_di.doc_data_extractor.default_field_sidebar_width This property defines the default width of the field sidebar, impacting how data is displayed in the document

All 67 properties in glide.platform_ml_di →