PATENT CLAIM ANALYSIS

Application Number: 16350298
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-11
Patent Classification: ["446", "444000"]

Abstract:
A toy is disclosed for a segmented tube track kit. The toy comprises a tube, comprised of reversibly attachable tubes. In one embodiment, the tube segments are held together frictionally. In another embodiment, tube segments are held together by locking mechanisms consisting of projections and cutouts. The toy vehicle in the kit has a drive wheel which is forced up away from the body of the car and against the inner walls of the tube by resilient members. In another embodiment, the vehicle has a tumbler wheel at the front of the car.

Claim (Index 10):
The toy segmented tube track kit of  claim 1 , wherein said toy vehicle comprises:\n a) a car body, said car body comprising;\n i) a top side; \n ii) a bottom side; \n iii) a front side; \n iv) a rear side; \n v) a first side; \n vi) a second side; \n b) a motor within the car body; c) a power source for the motor; d) a tumbler drive wheel positioned above and centered longitudinally with the body, movably connected to the body by a forked axle support; e) a gear system connecting the motor to the tumbler drive wheel allowing for the rotation of the tumbler drive wheel; f) a first two wheels positioned in line on the bottom side of the vehicle; and g) a second two wheels positioned in line on the top of the vehicle.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 97.0
- Lexical Diversity: 1.83929
- Patent Class: 446.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13068614', '14955685', '16134636', '12650723', '10966448']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5797883098538602
- 35 USC 102 Novelty (BERT): 0.4740721438113042
- Combined Prediction Score: 0.5692166932496046
- Mean Citation Score: 147.113732
- Max Citation Score: 161.84518
- Similarity Product: 124.98215181141376

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

Dataset: test