PATENT CLAIM ANALYSIS

Application Number: 16017102
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["702", "104000"]

Abstract:
Embodiments include methods, and computer system, and computer program products for performing test and calibration of integrated sensors on a processor chip. Aspects include: initializing, by a tester program, an on-chip service engine of processor chip, performing and completing, by on-chip service engine, test and calibration of integrated sensors. The method may also include: loading and decoding tester program into an on-chip service engine memory, testing and calibrating each integrated sensor, which may include: selecting an integrated sensor for test and calibration, loading sensor test and calibration patterns and parameters, and sensor test code, and executing the sensor test code to test and calibrate integrated sensors, writing results of the test and calibration to a predetermined location of the on-chip service engine memory, and writing a return code of test and calibration to another predetermined location of on-chip service engine memory, when every integrated sensor is tested and calibrated.

Claim (Index 3):
The method of  claim 1 , wherein the processor chip comprises the on-chip service engine, an on-chip service engine memory, and the one or more integrated sensors.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 94.0
- Lexical Diversity: 2.69841
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15063731', '15063666', '11937134', '15170365', '14282143']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1886280097135089
- 35 USC 102 Novelty (BERT): 0.5258055479241522
- Combined Prediction Score: 0.2223457635345732
- Mean Citation Score: 198.831966
- Max Citation Score: 328.96933
- Similarity Product: 258.0090668943941

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

Dataset: test