PATENT CLAIM ANALYSIS

Application Number: 16410480
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["702", "179000"]

Abstract:
A method for identifying the presence of at least one adulterant substance in a sample. The method comprises receiving sets of sample spectral data, reference spectral data, validation spectral data each set for a respective validation example, and adulterant substance spectral data for said at least one adulterant substance. From these residue data which is representative of a residue which would remain after performing a least squares fitting process between the sample spectral data and the reference spectral data is determined and modified sample residue data which is representative of a residue which would remain after performing a least squares fitting process between the sample spectral data, the reference spectral data and the adulterant substance spectral data is determined. The corresponding two residue data sets are also determined for each validation example. The method then includes performing least one comparison amongst the sample residue data, the modified sample residue data, the validation residue data, and the modified validation residue data; and determining a likelihood value for the presence of said at least one adulterant substance in said sample in dependence on said at least one comparison; and outputting said likelihood value.

Claim (Index 30):
The spectrometer according to  claim 26 , wherein the performing of the at least one comparison, by the spectral data processor, comprises,\n a) determining, by the spectral data processor, a value of a metric in respect of:\n i) the sample residue data; \n ii) the modified sample residue data; \n iii) the validation residue data for each validation example; and \n iv) the modified validation residue data for each validation example, \n b) determining, by the spectral data processor, a maximum value of the metric for:\n i) the validation residue data across the validation examples; and \n ii) the modified validation residue data across the validation examples, and \n c) performing at least one comparison, by the spectral data processor, between the value of the metric for at least one of the sample residue data and the modified sample residue on the one hand and the determined maximum value of the metric for at least one of the validation residue data and the modified validation residue data on the other hand.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 100.0
- Lexical Diversity: 3.30645
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14913782', '10937248', '14420101', '15486333', '15986918']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1739505289011991
- 35 USC 102 Novelty (BERT): 0.6240199527386504
- Combined Prediction Score: 0.2189574712849442
- Mean Citation Score: 259.145544
- Max Citation Score: 587.3242
- Similarity Product: 506.91653686678416

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

Dataset: test