PATENT CLAIM ANALYSIS

Application Number: 16394432
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["702", "003000"]

Abstract:
A method for forecasting an environmental event/a type of environmental event includes acquiring at least one test data set of at least one behavioural and/or physiological parameter of a population of animals; generating a test profile based on said at least one test data set, representing behaviour and/or physiological status of the population of animals; calculating a ratio between the test profile and a first reference profile; and setting an alert, if said ratio reaches a predefined threshold value.

Claim (Index 16):
A system, for forecasting a type of environmental event, comprising:\n a. a data acquisition unit ( 100 ) configured to acquire a data set of at least one of a behavioural parameter and a physiological parameter, of a population of animals; b. a profile generation unit ( 200 ) configured to generate: at least one first reference profile, and at least one test profile, each based on at least one said data set; c. a ratio calculation unit ( 300 ) configured to calculate a ratio between the at least one test profile and the at least one first reference profile; and d. an alert unit ( 400 ) configured to raise an alert when the calculated ratio reaches a predefined threshold value.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 100.0
- Lexical Diversity: 1.7
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14397876', '10147334', '12885520', '11649922', '12927769']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.168534049484889
- 35 USC 102 Novelty (BERT): 0.5596587789525573
- Combined Prediction Score: 0.2076465224316558
- Mean Citation Score: 182.8413032
- Max Citation Score: 452.29416
- Similarity Product: 351.6597219737577

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

Dataset: test