PATENT CLAIM ANALYSIS

Application Number: 16430198
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-09
Patent Classification: ["702", "003000"]

Abstract:
Provided are methods, devices, and non-transitory computer readable storage mediums to generate a weather timeline such as a succession of weather information on a continuous time scale. For example, a timeline may include first weather information associated with a first time in a first territorial location, second weather information associated with a second time, and third weather information associated with a third time. At least one of the first, second and third weather information may comprise a forecasted weather value indicative of a probability of having a specific type of precipitation at a specific intensity. A weather timeline may follow a specific location (e.g. city, town, any region with a definite boundary), a specific weather event (e.g. a specific precipitation type, a specific temperature level, a specific wind intensity), and/or a specific user. A timeline may include data created by an observer of the related weather information, where the data may be at least one of a picture, a video or a comment inputted by, the observer about the related weather information.

Claim (Index 16):
The device of  claim 13 , wherein the second weather information is related to the first location.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.35714
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14244383', '14244516', '14244586', '15817376', '13922800']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2333033535358678
- 35 USC 102 Novelty (BERT): 0.5787593242488374
- Combined Prediction Score: 0.2678489506071648
- Mean Citation Score: 369.484948
- Max Citation Score: 468.8642
- Similarity Product: 422.0913153862596

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