| Token | #6316 of SciMatic Articles (ERC-1155), fixed supply 1,000,000 |
|---|---|
| Contract | 0x0E596B4bb924937aA35D9b342A90347ed6F05eF8 |
| Mint transaction | 0xf2059118d8716f9bf30a2af3db25bbf03cf1471ba67653bdd4cb22609ec2c946 · block 12107878 |
| Minted | 2026-10-02 08:32 UTC |
| Hash on chain | 0x03f9ad6b0332992dc5ef3719492b418cb44dc0fa87e062764ea0340a25939980 |
| SHA-256 of the record | 0x03f9ad6b0332992dc5ef3719492b418cb44dc0fa87e062764ea0340a25939980 |
| Article today | Matches the anchored record. |
| Holder | Wallet | Minted | Holds now |
|---|---|---|---|
| SciMatic (10%) | 0xc35709AB…277732 | 100,000 | 100,000 |
| Asmalia Dida-Agun | 0x9060Cac6…AdC762 | 450,000 | 450,000 |
| Carlito Abarquez | 0x837a87D5…5DC510 | 450,000 | 450,000 |
Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.
{"abstract":"This study investigated the influence of artificial intelligence (AI) on the academic performance of students enrolled in selected External Units of Mindanao State University (MSU) during the first semester of the academic year 2024–2025. Employing a quantitative, descriptive-correlational research design, data were gathered through a structured survey questionnaire. Descriptive statistics were used to analyze demographic variables such as age, sex, academic strand, and general average grades. Pearson’s r-correlation coefficient assessed the relationship between AI use and academic performance, while linear regression analysis was conducted to identify potential predictors of academic success. Findings revealed that students actively engaged with various AI tools to support their educational endeavors and reported perceived enhancements in their learning behaviors and motivational levels. Despite these positive perceptions, statistical analysis indicated no significant correlation between AI influence and students' academic performance. Furthermore, variables such as age, sex, academic strand and the use of AI applications did not significantly predict academic outcomes. The results suggested that while AI technologies contributed to shaping learning behaviors and motivational strategies, their direct effect on measurable academic success remains inconclusive.","abstract_source":"original","authors":["Asmalia Dida-Agun","Carlito Abarquez"],"date":"2025-09-03","doi":"10.70838/pemj.460408","id":6316,"issue":4,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"72c98ee50affe97521fce84121a8fad4710c79f29ac3089cf00ade5ba3841998","schema":"scimatic-article/1","title":"Artificial Intelligence: Its Influence on Academic Performance of Grade 11 Senior High School Students","volume":46}
1. The record, from the token's own metadata:
printf '%s' "$(curl -s https://scimatic.org/nft/articles/6316.json | jq -r .canonical_record)" | sha256sum
2. The hash stored on chain (contentHash(6316)):
curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c29000000000000000000000000000000000000000000000000000000000000018ac"},"latest"]}'
The two must be equal (the second with a 0x in front).