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 33):
The spectrometer according to  claim 26 , the spectral data processor further executing on the analysis module to:\n generate, by the analysis module, an indicator that the sample likely includes an adulterant which is distinct from said at least one adulterant in response to a determination, by the spectral data processor, that i) the determined value of a metric in respect of the sample residue data is greater than the average for the validation residue data plus 3 times the standard deviation for the validation residue data; and ii) the determined value of a metric in respect of the modified sample residue data is greater than the average for the modified validation residue data determined in plus 3 times the standard deviation for the modified validation residue data.

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): 0.1766300210843497
- 35 USC 102 Novelty (BERT): 0.6126070720113893
- Combined Prediction Score: 0.2202277261770537
- Mean Citation Score: 259.145544
- Max Citation Score: 587.3242
- Similarity Product: 464.48515895576486

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