PATENT CLAIM ANALYSIS

Application Number: 16044822
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["382", "159000"]

Abstract:
In various embodiments, training objects are classified by human annotators, psychometric data characterizing the annotation of the training objects is acquired, a human-weighted loss function based at least in part on the classification data and the psychometric data is computationally derived, and one or more features of a query object are computationally classified based at least in part on the human-weighted loss function.

Claim (Index 20):
The system of  claim 18 , wherein the psychometric data comprises at least one of (i) response time for classifying one or more features, (ii) accuracy of feature classification, or (iii) presentation time of one or more training objects.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 95.0
- Lexical Diversity: 1.7
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14900397', '15702809', '14155097', '15646563', '12011748']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3642177673350013
- 35 USC 102 Novelty (BERT): 0.5634564006652463
- Combined Prediction Score: 0.3841416306680258
- Mean Citation Score: 270.48561800000004
- Max Citation Score: 441.84872
- Similarity Product: 366.5988249466896

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