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 14):
The system of  claim 12 , wherein segmenting the area of the respective compressed data model surrounding the location into the plurality of segments comprises determining a number of segments for the calculating the fitted measure, wherein\n the number of segments is based on a number of data dimensions in each of the plurality of data points in the respective compressed data model.

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): 0.1130910163277646
- 35 USC 102 Novelty (BERT): 0.4943670546185342
- Combined Prediction Score: 0.1512186201568416
- Mean Citation Score: 149.01846
- Max Citation Score: 153.73956
- Similarity Product: 90.2641838970995

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