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 11):
An apparatus for generating a regressive information object, comprising:\n a processor; and a memory comprising instructions executable by the processor to:\n determine a number of states as a product progresses in a workflow associated with the regressive information object tagged to the product; and \n encode the regressive information object with information at the states in the workflow by writing a predetermined number of bits to the regressive information object in the states in the workflow, wherein the predetermined number of bits for the states is chosen such that the last state is decodable by a standard information object reader and other states by the standard information object reader, wherein the product and the regressive information object are physical, electronic, or mixed.

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): 0.5084826779318049
- 35 USC 102 Novelty (BERT): 0.4754768085353892
- Combined Prediction Score: 0.5051820909921634
- Mean Citation Score: 158.006754
- Max Citation Score: 229.29865
- Similarity Product: 190.8989394268156

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