PATENT CLAIM ANALYSIS

Application Number: 15873103
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["320", "114000"]

Abstract:
A charging locker includes a frame, and a plurality of modular shelf units. Each modular shelf unit having an integral floor, at least one side wall, and a back wall. The plurality of modular shelf units are configured to extend vertically above one another to form a stack of modular shelf units in which the side walls and back walls of the plurality of modular shelf units form nearly contiguous first and second surfaces. A plurality of tabs on corners of each of the modular shelf units are provided to be received in notches in the frame to support the modular shelf units relative to the frame. A plurality of electrical receptacles are also provided. At least one electrical receptacle is accessible from within each of the modular shelf units.

Claim (Index 3):
The charging locker of  claim 2 , wherein:\n a first of the tabs is formed on a first of the front corners to slide into a first forward-facing notch on the frame; a second of the tabs is formed on a second of the front corners of the modular shelf unit to slide into a second rearward facing notch on the frame; and a third of the tabs is formed on the rear corner of the modular shelf unit to slide into a third forward facing notch on the frame.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.17188
- Patent Class: 320.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15210157', '15008545', '15071129', '13758436', '14068345']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7588393726875701
- 35 USC 102 Novelty (BERT): 0.4932271011167693
- Combined Prediction Score: 0.7322781455304901
- Mean Citation Score: 200.733268
- Max Citation Score: 244.94725
- Similarity Product: 177.01800473055243

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