Create evaluation/automatic_review.py

src/evaluation/automatic_review.py

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+# © 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."