PATENT CLAIM ANALYSIS

Application Number: 16395940
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-09
Patent Classification: ["257", "004000"]

Abstract:
The subject technology is related to methods and apparatus for discretization and manufacturability analysis of computer assisted design models. In one embodiment, the subject technology implements a computer-based method for the reception of an electronic file with a digital model representative of a physical object. The computer-based method determines geometric and physical attributes from a discretized version of the digital model, a cloud point version of the digital model, and symbolic functions generated through evolutionary algorithms. A set of predictive machine learning models is utilized to infer predictions related to the manufacture process of the physical object.

Claim (Index 35):
The system of  claim 26 , wherein the predictive engine produces the at least one predictive value based further upon one or more candidate shape distributions retrieved as a pre-classifier of physical object shape.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 100.0
- Lexical Diversity: 1.67742
- Patent Class: 257.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16113835', '15721208', '16046519', '15340338', '15404052']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9235003440406636
- 35 USC 102 Novelty (BERT): 0.5176146280844606
- Combined Prediction Score: 0.8829117724450434
- Mean Citation Score: 243.738542
- Max Citation Score: 289.3524
- Similarity Product: 188.94308063335416

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

Dataset: test