Methodology

Methodology Overview

Orbis Scientia employs a hybrid intelligent workflow human approach that combines advanced natural language processing, algorithms and validation to deliver comprehensive literature reviews. Our methodology is designed to meet the rigorous standards expected in academic research while providing unprecedented speed and coverage.

Every review undergoes a multi-stage validation process that ensures accuracy, completeness, and adherence to academic standards. The output provides full transparency in the scoring of articles so that researchers can verify and validate to support reproducible research practices.

Comprehensive Data Sources

Our literature analysis draws from multiple high-quality academic databases to ensure comprehensive coverage across disciplines:

Processing Pipeline

Novelty Assessment Methodology

Our novelty assessment evaluates each paper in the existing literature against YOUR specific research project across multiple dimensions. This granular analysis identifies potential threats to novelty, overlaps to address, and opportunities to strengthen your research's unique contribution.

Paper-by-Paper Comparative Analysis

For every relevant paper identified in our literature search, we conduct a detailed similarity assessment across four critical research dimensions:

Threat Level Assessment

Each paper receives a threat level classification based on its similarity to your research:

• Critical Threat: High similarity across multiple dimensions requiring immediate attention
• Moderate Threat: Significant overlap in key areas needing differentiation strategies
• Low Threat: Some similarities but sufficient differentiation exists
• No Threat: Minimal overlap, supports novelty of your research

Detailed Overlap & Difference Analysis

For each paper, we identify specific areas of convergence and divergence:

• Key Overlaps: Up to 3 primary areas where your research aligns with existing work
• Key Differences: Up to 3 critical ways your research differs and adds value

What You Receive

• Individual Paper Scores: Detailed similarity analysis for every relevant paper
• Overall Novelty Assessment: Aggregate analysis of your research's uniqueness
• Critical Threat Alerts: Immediate identification of papers that could impact your novelty claims

Ethical Framework & Academic Integrity

We maintain the highest standards of academic integrity and ethical research practices:

Transparency & Attribution

• All sources are properly cited with complete bibliographic information
• All article scores include rationale for researcher review and validation.
• No content is generated without clear attribution to original sources
• Limitations and uncertainties are explicitly acknowledged

Research Integrity

• All research findings sourced exclusively from peer-reviewed academic databases with no fabricated content.
• Balanced representation of contradictory evidence
• Clear distinction between established facts and interpretations
• Adherence to Russell Group AI ethical guidelines

Responsible Intelligent Workflow Use

• Workflow solutions augment rather than replace human scholarly judgment
• Regular auditing for algorithmic bias and correction mechanisms
• Continuous model validation against expert assessments
• Transparency about intelligent workflow involvement in the research process

Continuous Improvement & Validation

Our methodology evolves continuously based on user feedback, academic developments, and technological advances:

Ongoing Validation Studies

• Regular comparison with traditional literature reviews
• Peer review of methodology by academic partners
• User satisfaction and outcome tracking
• Correlation analysis with publication success rates

Model Updates & Improvements

• Model retraining with new data
• Integration of emerging academic databases
• Algorithm refinements based on user feedback
• Expansion to new disciplines and languages