PATENT CLAIM ANALYSIS

Application Number: 16010846
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["235", "494000"]

Abstract:
Example embodiments disclosed herein relate to generating a regressive information object. Information is encoded into an information object at states in a workflow. Information is encoded such that information encoded in a last state in the workflow is readable by an information object reader and information encoded in states prior to the last state is not readable by the information object reader.

Claim (Index 1):
A method for generating a regressive information object, comprising:\n determining a number of states as a product progresses in a workflow associated with the regressive information object tagged to the product; encoding the regressive information object with information at the determined number of states the workflow; and reading the regressive information object by an information object reader, wherein encoding the regressive information object with information comprises encoding the regressive information object with different bitstreams for the states in the workflow, the bitstreams to differentiate a particular state from other states in the workflow, wherein the regressive information object is encoded such that information encoded in a last state in the workflow is readable by the information object reader, wherein the product and the regressive information object are physical, electronic, or mixed, and wherein information encoded in states prior to the last state in the workflow are unreadable by the information object reader.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 94.0
- Lexical Diversity: 2.03125
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14419793', '13885987', '13106052', '14747435', '13989785']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5077865876842035
- 35 USC 102 Novelty (BERT): 0.4784225231478605
- Combined Prediction Score: 0.5048501812305692
- Mean Citation Score: 158.006754
- Max Citation Score: 229.29865
- Similarity Product: 184.7895628211141

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test