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 10):
The method of  claim 1 , further comprising calculating one or more additional weights, and assigning the one or more additional weights to variables for the input data that was not included in the convergence-based ensemble of adaptive livestock growth models for subsequent modeling of the average daily gain over time.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 1.5625
- Patent Class: 703.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15828109', '11977673', '14952670', '14152845', '11977625']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2466353060315696
- 35 USC 102 Novelty (BERT): 0.4852694034808927
- Combined Prediction Score: 0.270498715776502
- Mean Citation Score: 165.00988600000005
- Max Citation Score: 195.42964
- Similarity Product: 141.8143477520418

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

Dataset: test