Delete src/src/evaluation/automatic_review.py

src/src/evaluation/automatic_review.py

@@ -1,50 +0,0 @@
-# © 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."