PATENT CLAIM ANALYSIS

Application Number: 16107702
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["705", "030000"]

Abstract:
The present disclosure generally relates to assessing climate change risk at a security level. A computing system receives a selection of a climate change scenario from a user operating a remote client device. The computing system generates one or more environmental metrics for one or more energy sources based on the scenario selected by the user. The computing system converts the one or more environmental metrics for the one or more energy sources into one or more profitability indicators. The computing system correlates at least one energy source of the one or more energy sources to each security of the one or more securities. The computing system generates a projected climate change risk for each security based on the one or more environmental metrics for the one or more energy sources. The computing system provides a data set representing the projected climate change risk to the remote client device.

Claim (Index 9):
The computer-implemented method of  claim 8 , wherein the generating of the one or more environmental metrics for the one or more energy sources based on the scenario selected by the user further comprises:\n simulating a climate change impact of each energy source using one or more metrics associated with the selected climate change scenario.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.78571
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11931913', '12971642', '13794234', '10636932', '12612274']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1068170637460083
- 35 USC 102 Novelty (BERT): 0.5010091690633264
- Combined Prediction Score: 0.1462362742777401
- Mean Citation Score: 159.894684
- Max Citation Score: 167.24829
- Similarity Product: 91.81181883827448

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

Dataset: test