PATENT CLAIM ANALYSIS

Application Number: 15921271
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["384", "568000"]

Abstract:
A double-row self-aligning roller bearing includes an inner ring, an outer ring having a spherical raceway surface, and rollers in a left row and rollers in a right row interposed between the inner ring and the outer ring, the rollers in the left row and the rollers in the right row each having an outer peripheral surface having a cross-sectional shape along the raceway surface of the outer ring. The length of each roller in the left row and the length of each roller in the right row are different from each other, and the number of the rollers in the left row and the number of the rollers in the right row are different from each other.

Claim (Index 1):
A double-row self-aligning roller bearing comprising:\n an inner ring; an outer ring having a spherical raceway surface; and rollers in a left row and rollers in a right row interposed between the inner ring and the outer ring, the rollers in the left row and the rollers in the right row each having an outer peripheral surface of a cross-sectional shape along the raceway surface of the outer ring, wherein a length of each roller in the left row and a length of each roller in the right row are different from each other, and the number of the rollers in the left row and the number of the rollers in the right row are different from each other.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 3.17949
- Patent Class: 384.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['10579567', '11663162', '13883724', '11631525', '11072436']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8167619978271861
- 35 USC 102 Novelty (BERT): 0.5295450687456258
- Combined Prediction Score: 0.7880403049190301
- Mean Citation Score: 316.156422
- Max Citation Score: 370.76212
- Similarity Product: 317.611158274188

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

Dataset: test