Last updated
March 3, 2021
Category
Quick start
Articles in this category
Table of contents
Last updated
March 3, 2021
Category
Quick start
Articles in this category
Table of contents
Record: A set of information corresponding to a single source within a collection. In a collection, these values are related by a file instance. In the table view, each row corresponds to a record. There are 2 records displayed in the below screenshot that correspond to the “Purchase-Order-5.doc” and “Purchase-Order-4.doc” files.
Field: A piece of information that each record within a collection contains. Each field has a certain type (ex: number) which is the same for each record. In the table view, each column represents a field. There are 3 fields displayed in the below screenshot: “File”, “total”, and “date.”
Value: A piece of data in a record that corresponds to a field. In the table view, each cell represents a value. In the screenshot below, “35,650” is the value of the cell for the “total” field of the “Purchase-Order-4.doc” record.
Collection: A group of records where each record corresponds to a file.
Manual collection: A group of records grouped together by hand.
Smart collection: A group of records to which files are assigned by a specific query.
Dataset: A group of records where each record does not correspond to a specific file. Datasets commonly contain metadata and can be created from the contents of a spreadsheet or from scratch.
text: Text of any type. Text values can be of any length.
date: A single date.
number: A single number.
checkbox: A binary true or false value.
join: A field that links each record to records in another collection or dataset.
function: The saved result of an IQL function for each record.
Text extraction: The machine learning field type for extracting a single value for each record. A text extraction field can extract data of any length. However, this field will only return at most one value per record. If the model is not confident that the relevant information is present in the record, it will return a blank value.
Checkbox extraction [limited access]: The machine learning field type for extracting a binary True or False value. This model works for checkboxes, radio buttons, and other marks of true or false. This is a limited access feature. If you would like to access this feature, please reach out to the Impira team at info@impira.com.
Manual confidence: If a user manually extracts or corrects a value, we assign 100% confidence to that value. In the table view, these manually extracted values are denoted by a thick black border on the left side of the cell.
High confidence: If a machine learning model is highly confident in its prediction, it is denoted by a dashed green border on the left side of the cell.
Review Recommended: If a machine learning model is moderately confident in its prediction, it is denoted by a dashed red border along with an red triangle on the left side of the cell.