PATENT CLAIM ANALYSIS

Application Number: 16432467
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-12
Patent Classification: ["705", "004000"]

Abstract:
In an illustrative embodiment, systems and methods for calculating risk scores for locations potentially affected by catastrophic events include receiving a risk score request for a location, the risk score request including a request for assessment of risk exposure related to a type of catastrophic event. Based on the type of catastrophic event, a data compression algorithm may be applied to a catastrophic risk model representing amounts of perceived risk to an area surrounding the location. In response to receiving the risk score request, a risk score for the location may be calculated that corresponds to a weighted estimation of one or more data points in a compressed catastrophic risk model. A risk score user interface screen may be generated in real-time to present the catastrophic risk score and one or more corresponding loss metrics for the location due to a potential occurrence of the type of catastrophic event.

Claim (Index 4):
The system of  claim 1 , wherein calculating the catastrophic risk score further comprises calculating one or more loss metrics associated with the location, wherein the one or more loss metrics comprise at least one of average annual loss, reinsurance margin, net capital costs, or total costs.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 100.0
- Lexical Diversity: 2.15068
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12754189', '14457732', '12347787', '13924316', '15726580']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1162316401391583
- 35 USC 102 Novelty (BERT): 0.465406944678062
- Combined Prediction Score: 0.1511491705930487
- Mean Citation Score: 149.01846
- Max Citation Score: 153.73956
- Similarity Product: 116.5817997977686

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

Dataset: test