PATENT CLAIM ANALYSIS

Application Number: 16059429
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["040", "634000"]

Abstract:
Disclosed is a generally planar automotive service tag, and method of using the same, having a first portion and a second portion. The first portion includes multiple foldable tags for describing service information, wherein each of multiple foldable tags fold and unfold along a foldable edge of the first end to indicate a status of a corresponding vehicle service. Each of the foldable tags has a male portion at a second end. The second portion of the automotive service tag includes an identifier for identifying the automotive service tag, and a plurality of female portions for each corresponding male portion of the plurality of foldable tags. The second portion further includes a protrusion that extends along an edge of a top end and a hanger portion that extends from the top end, the hanger portion being used to hang the automotive service tag on the rear-view mirror of a vehicle.

Claim (Index 6):
The automotive service tag of  claim 1 , wherein each female portion is configured as a through hole, and each male portion includes a lip portion configured to be inserted into the through hole to releasably clip onto the second portion through the through hole.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.53968
- Patent Class: 40.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13170706', '14046810', '15043732', '14698769', '12958261']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7458114348346948
- 35 USC 102 Novelty (BERT): 0.5113986285403695
- Combined Prediction Score: 0.7223701542052623
- Mean Citation Score: 151.61973600000005
- Max Citation Score: 187.90504
- Similarity Product: 100.4084091860676

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