PATENT CLAIM ANALYSIS

Application Number: 15933281
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-03
Patent Classification: ["705", "014390"]

Abstract:
Methods and systems are presented for data distribution in which batch evaluations of aggregate performances of taskset-completing participants conditionally trigger eligibility notifications for upcoming on-chain batch data distributions (of cryptoassets, provenance data, or other on-list content, e.g.).

Claim (Index 5):
The method of  claim 1 , wherein said on-chain batch data distribution to said numerous taskset participants is also partly based on said first and second taskset participants each having opted into said on-chain batch data distribution after receiving said eligibility notification signaling said on-chain batch data distribution and before said on-chain batch data distribution is triggered; wherein said eligibility notification presents said first threshold associated with said on-chain first transfer modality as a default scalar quantity; wherein said first taskset participant accepts said default scalar quantity and said second taskset participant replaces said default scalar quantity with a larger value; and wherein said batch data distribution to said first and second taskset participants is performed using said default scalar quantity and said larger value respectively.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.25714
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15801180', '13705347', '13066444', '09560597', '13066442']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1055202153428731
- 35 USC 102 Novelty (BERT): 0.4931707177747842
- Combined Prediction Score: 0.1442852655860642
- Mean Citation Score: 109.2789128
- Max Citation Score: 115.19878
- Similarity Product: 69.15931548847914

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

Dataset: test