PATENT CLAIM ANALYSIS

Application Number: 15748572
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["358", "001120"]

Abstract:
Examples of a method for detecting misalignment cause a printer to print a calibration pattern on a recording medium sheet. The calibration pattern includes graduated measurement scales positioned so that: when the calibration pattern is printed without misalignment on a recording medium sheet of predetermined dimensions, matching graduations of plural measurement scales in the calibration pattern are printed at respective reference locations on the recording medium sheet that correspond to corners of the recording medium sheet (or to spaced positions along a line where folding of the recording medium sheet by a folding apparatus is intended to take place). When the calibration pattern is printed with misalignment on a recording medium sheet of predetermined dimensions, non-matching graduations of the plural measurement scales are printed at the reference locations on the recording medium sheet.

Claim (Index 12):
The misalignment detection method according to  claim 8 , and comprising folding the printed recording medium sheet by the folding apparatus, and adjusting the folding parameters of the folding apparatus based on the graduations of the second measurement scales that are printed at reference locations positioned along a common fold of the folded sheet.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 2.2381
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15748879', '15760750', '15758897', '12731378', '11106956']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4727642720783208
- 35 USC 102 Novelty (BERT): 0.467808783347911
- Combined Prediction Score: 0.4722687232052798
- Mean Citation Score: 125.90491699999998
- Max Citation Score: 131.81712
- Similarity Product: 95.3082313094902

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