PATENT CLAIM ANALYSIS

Application Number: 16097372
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["428", "523000"]

Abstract:
The present invention relates to a medical packaging film containing a laminate of a first layer formed of a no-antistatic agent-containing thermoplastic resin formation layer; a second layer formed of a polymer antistatic agent-containing thermoplastic resin formation layer containing a potassium ionomer in an amount of C wt % (10<C<30); and a third layer formed of the thermoplastic resin formation layer, and the laminate provides an amount of a water-elutable alkali component being at most 0.01 mmol equivalent per g in total of 1 cm 2  pieces, and in which the fist layer has a thickness of L 1  m, and the second layer has a potassium ionomer concentration of C′ 2  vol % and a thickness of L 2  m, satisfying the formula 2≤L 1≤ (5×L 2 ×C′ 2 )/100+5.

Claim (Index 4):
The medical packaging film according to  claim 3 , wherein the first layer has the thickness of L 1  \u03bcm; the second layer contains a base resin having a density of D 2b  g/cm 3  and the potassium ionomer having a density of D 2  g/cm 3  and having concentrations of C 2  wt % and C\u2032 2  vol %; and the second layer has the thickness of L 2  \u03bcm, satisfying the above formula (1) and the following formula (2):\n C\u2032 2 /100=( C 2 /D 2 )/[(100 \u2212C 2 )/ D 2b +C 2 /D 2]\u2003\u2003(2).

Metadata:
- Claim Count in Document: 23.0
- Percentile: 97.0
- Lexical Diversity: 1.94667
- Patent Class: 428.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11087037', '13651625', '11895605', '15588986', '11141144']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8846628015906697
- 35 USC 102 Novelty (BERT): 0.4945282040972914
- Combined Prediction Score: 0.8456493418413318
- Mean Citation Score: 183.355908
- Max Citation Score: 187.80695
- Similarity Product: 127.45845936194064

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