# © 2025 Elena Marziali — Code released under Apache 2.0 license. # See LICENSE in the repository for details. # Removal of this copyright is prohibited. # Verify the methodology of the text using an LLM def verify_methodology(paper_text): prompt = f"Analyze the 'Methods' section and check whether the experiment is replicable:\n{paper_text}" return llm.invoke(prompt.strip()) # Enrich the context of the response async def enrich_context(query): """ Retrieves scientific data to enrich the LLM's context. """ articles = await search_multi_database(query) context = "\n".join([f"**{a['title']}** - {a['abstract']}" for a in articles[:3]]) # Select the first 3 articles return context if context else "No relevant scientific articles found." # Automated review of scientific papers async def review_paper(paper_text): """ Analyzes the paper's methodology and citations. """ methodology = await verify_methodology(paper_text) citations = await verify_citations(paper_text) review = { "methodology_analysis": methodology, "citation_validation": citations, "improvement_suggestions": suggest_improvements(paper_text) } return review # === Asynchronous function for scientific search and analysis using SciBERT === async def search_arxiv_async(query): # TODO: Implement asynchronous API call to arXiv or other repository return [] # Placeholder article list async def analyze_scientific_text(problem, concept): articles = await search_arxiv_async(concept) context = "\n".join([f"{a.get('title', '')}: {a.get('abstract', '')[:300]}..." for a in articles]) scibert_response = scibert_model(question=problem, context=context) return scibert_response.get("answer", "") # === Function to search for experimental data === def search_experimental_data(query): url = f"https://api.openphysicsdata.org/search?query={query}" response = requests.get(url) if response.status_code == 200: return response.json() else: return "No experimental data found."