PATENT CLAIM ANALYSIS

Application Number: 15996432
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["703", "002000"]

Abstract:
A method and system is provided in an adaptive framework for modeling livestock growth. The adaptive framework processes input data relative to livestock growth in an ensemble of one or more models and an artificial intelligence layer configured to select the most appropriate or primary model to optimize, predict, and recommend livestock feed operations based upon environmental, physiological, location and time variables within such input data. The adaptive framework also optimizes workflow by pen and by producer, based upon historical performance, gender and breed and the management practices of the producer.

Claim (Index 23):
The method of  claim 1 , wherein the input data further comprises a nutrition plan, a facility type, and a feedlot location.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 1.5625
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15828109', '11977673', '14952670', '14152845', '11977625']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2696024664988519
- 35 USC 102 Novelty (BERT): 0.486463593317982
- Combined Prediction Score: 0.2912885791807649
- Mean Citation Score: 165.00988600000005
- Max Citation Score: 195.42964
- Similarity Product: 143.38618661922698

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

Dataset: test