What this category's data looks like
This category's data looks like this: The materials for the preliminary review of academic journal submissions include submitted manuscripts, author information forms, and plagiarism check reports. The fields cover manuscript number, title, author name, affiliation, submission date, plagiarism rate, signature, and receipt. The material sources are the editorial office's manuscript receipt system and manual registration ledgers. The update cadence is once after each batch of submissions is registered, and the version is based on the editorial office's current archive. When entering the vector model and index function, the submitted manuscript plays the role of the main text basis, the author information form plays the role of verifying the author and affiliation fields, and the plagiarism check report plays the role of verifying the duplication rate and detection date. Together, the three types of materials support basis entries that can be traced back to the original text, for replying to authors or writing into the preliminary review plan.
Configuration and implementation checks
Configuration and implementation checks: This step is executed by the index service and vector database, and outputs the vector and index status (whether recall is possible and whether data in the same group is merged). The "basis entries that can be traced back to the original text" are then completed by subsequent AI nodes, code nodes, or manual work (retrieval and citation trimming only take supporting materials).
| Object | Check | Verification action |
|---|---|---|
| Submitted manuscript | The manuscript number, title, submission date, and signature must match the author information form item by item, and the version must be the editorial office's current archive. | In the knowledge base settings, check that the index model is consistent with the vector model actually used by the manuscript materials, open a data row to check whether the index field contains multiple vector identifiers, and check the values of defaultToken and maxToken. |
| Author information form | The author name, affiliation, authorship order, and manuscript title must be consistent with the submitted manuscript; if the signature or receipt is missing, it is judged inconsistent. | Compare the names, quantities, and dates in the author information form and the submitted manuscript, confirm whether data in the same group is merged, and check the status value indexed and the rebuild task record. |
| Plagiarism check report | The plagiarism rate, detection date, and manuscript number must match the submitted manuscript and author information form; if the version is not synchronized, it is judged inconsistent. | Check the data scope covered by the rebuild task, trigger only for data that has already been indexed after changing models, check the tokens of the cited text, and separately record the number of array entries. |
Three common errors
- Symptom: duplicate entries appear in retrieval results. Inspect the following: the same group of original data corresponds to multiple vector identifiers, and when merging back to the original data, the highest score is not taken by the same group.
- Symptom: the name, quantity, and date of the same record do not match across two materials. Inspect the following: the author information form and the submitted manuscript versions are not synchronized, and the registration batches differ.
- Symptom: recall quality drops after changing models. Inspect the following: the rebuild task only covers data that has already been indexed, and entries missing signatures or receipts have not entered the current version.
How to verify the setup
How to verify the setup: Acceptance for this function: sample a data row to inspect the index field, confirm that multiple vector identifiers are all present, then retrieve once to see whether data in the same group is merged and the highest score is taken; check the status value indexed and the rebuild task record, and check the cited text tokens corresponding to limit.
Business test: ask a basis question that spans materials, and see whether the answer gives a traceable source, and whether the source can be traced back to the original text location in the submitted manuscript, author information form, or plagiarism check report.
- In the knowledge base settings, check that the index model is consistent with the vector model actually used by the knowledge base, open a data row to check whether the index field completely records multiple vector identifiers, and check
defaultTokenandmaxToken. - Check the data scope covered by the rebuild task, confirm that after changing models it is triggered only for data that has already been indexed, and separately record the number of citation array entries and the tokens of the cited text.