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 20):
A non-transitory computer readable medium comprising computer readable program code, which when executed by a computer processor enables the computer processor to perform a method for injecting data into a secure distributed computing system, the method comprising:\n obtaining characteristics of an object via a secure operable connection from a smart silo; verifying an identity of the smart silo based on credentials included in a message from the smart silo received via the secure operable connection; making a determination that the characteristics match a trigger condition of a smart contract; executing 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): 0.082903620731614
- 35 USC 102 Novelty (BERT): 0.4750731543889696
- Combined Prediction Score: 0.1221205740973495
- Mean Citation Score: 135.933588
- Max Citation Score: 146.60641
- Similarity Product: 105.54543421301604

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