PATENT CLAIM ANALYSIS

Application Number: 16078921
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["235", "462030"]

Abstract:
A container for a beverage or foodstuff preparation machine, the container for containing beverage or foodstuff material and comprising a code encoding preparation information, the code comprising a reference portion and a data portion: the reference portion comprising reference units defining a reference line r; the data portion comprising a data unit, wherein said data unit is arranged on an encoding line D that intersects the reference line r, the data unit is arranged a distance d from said intersection as a variable to at least partially encode a parameter of the preparation information, whereby said encoding line D is circular and is arranged with a tangent thereto orthogonal the reference line r at said intersection point, wherein the reference units are arranged with a configuration defining a reference point from which the reference line r extends.

Claim (Index 24):
Container according to  claim 20 , wherein the virtual encoding line is arranged within a virtual rectangular planform and further discrete positions are arranged an outer periphery of the virtual encoding line, whereby the further discrete positions are arranged within the virtual planform and are proximal one or more vertices thereof.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 96.0
- Lexical Diversity: 2.35484
- Patent Class: 235.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15569119', '15564828', '15124521', '15128645', '15122576']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5565168767268678
- 35 USC 102 Novelty (BERT): 0.4998817574159518
- Combined Prediction Score: 0.5508533647957762
- Mean Citation Score: 207.536358
- Max Citation Score: 282.71677
- Similarity Product: 223.92332482847087

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

Dataset: test