Model Card: Journal Retrieval Code Model
Model Description
- Model Name: Journal Retrieval Code Model
- Model Architecture: Biopython-based data extraction and retrieval
- Intended Use: Extracts and retrieves journal data from PubMed articles using PM IDs.
- License: MIT License
Training Data
- Dataset: The model was used on PubMed articles data.
- Data Preprocessing: Data was preprocessed by extracting relevant fields such as abstract, title, journal, language, year, and month.
Training Procedure
- Hyperparameters: N/A
- Training Duration: N/A
- Compute Resources: N/A
Evaluation
- Metrics: Accuracy of data retrieval and parsing
- Results: N/A
- Evaluation Data: Various PM IDs provided by users.
Intended Use Cases
- Primary Use Case: Academic research, systematic reviews, and meta-analyses.
- Secondary Use Cases: General data extraction for biomedical research.
- Misuse: Not suitable for extracting data outside the PubMed database. May not handle edge cases well.
Limitations
- Known Limitations: Only works with PubMed data and requires valid PM IDs.
- Potential Biases: Relies on the availability and accuracy of PubMed's data.
How to Use
Installation
Install the necessary dependencies:
pip install biopython pandas huggingface_hub
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.