PATENT CLAIM ANALYSIS

Application Number: 16238495
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["705", "035000"]

Abstract:
A method for injecting data into a secure distributed computing system includes obtaining characteristics of an object via a secure operable connection from a smart silo. The method further includes verifying an identity of the smart silo based on credentials included in a message from the smart silo received via the secure operable connection. The method further includes making a determination that the characteristics match a trigger condition of a smart contract. The method further includes executing the smart contract in response to the determination.

Claim (Index 19):
A system, comprising:\n a distributed computing system comprising persistent storage storing:\n a block chain ledger, and \n smart contract requirements of a smart contract; \n wherein the distributed computing system is programmed to execute a distributed data structure manager that:\n obtains characteristics of an object via a secure operable connection from a smart silo; \n verifies an identity of the smart silo based on credentials included in a message from the smart silo received via the secure operable connection; \n makes a determination that the characteristics match a trigger condition of the smart contract requirements; and \n executes the smart contract in response to the determination.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.93478
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15296953', '15976763', '15855312', '15603503', '16127283']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0831587933219206
- 35 USC 102 Novelty (BERT): 0.4719603910270548
- Combined Prediction Score: 0.122038953092434
- Mean Citation Score: 135.933588
- Max Citation Score: 146.60641
- Similarity Product: 108.1599179410398

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test