PATENT CLAIM ANALYSIS

Application Number: 15916298
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["312", "409000"]

Abstract:
A safety cabinet for storing flammable liquids is provided with a flame arresting vent. The flame arresting vent or “flame arrestor” allows flammable vapors inside the cabinet to leave the cabinet's interior but prevents flame from flowing into the cabinet's interior from outside the cabinet.

Claim (Index 2):
The flame arrestor for a safety cabinet of  claim 1 , wherein each wire mesh layer comprises:\n a first set of substantially evenly-spaced-apart corrosion-resistant metal wires abutting a second set of substantially evenly-spaced-apart corrosion-resistant metal wires, wires of the first set of wires being substantially parallel to each other, wires of the second set of substantially evenly-spaced wires being substantially parallel to each other, wires of the first set of substantially-evenly spaced wires crossing wires of the second set of wires at a first predetermined angle, the crossed first and second sets of wires defining wire parallelograms each wire parallelogram having substantially congruent opposite sides defining a substantially parallelogram-shaped opening having an open area, which is sufficient to allow gaseous molecules to pass there through.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 90.0
- Lexical Diversity: 1.5
- Patent Class: 312.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11373239', '10535567', '12383909', '13978730', '15832343']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8022643153719577
- 35 USC 102 Novelty (BERT): 0.4695319196176555
- Combined Prediction Score: 0.7689910757965275
- Mean Citation Score: 118.36352240000002
- Max Citation Score: 119.7132
- Similarity Product: 80.83626620328427

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