Conference Abstract Review
ReviewerZero's Conference Abstract Review integrates with conference submission systems to provide automated integrity screening for abstracts, extended abstracts, and full submissions. Designed for platforms like CTI Meeting Technology's cOASIS, this feature helps program committees identify potential issues at scale.
Integration Overview
Conference Abstract Review adds AI-powered screening to your submission workflow:
- Automated screening - Process submissions as they arrive
- Scalable analysis - Handle thousands of abstracts efficiently
- Structured output - Machine-readable results for your platform
- Flexible deployment - Works with text submissions and PDF uploads
Review Types
Three review modes support different submission formats and processing requirements.
Abstract Review
For standard conference abstracts (150-500 words). Evaluates:
- Research objective clarity
- Methodology appropriateness
- Significance of findings
- Writing quality
- Venue fit (when conference context is provided)
Provides thorough analysis with detailed feedback.
Extended Abstract Review
For multi-page submissions (2-6 pages) submitted as PDFs. Evaluates:
- Research question clarity and significance
- Appropriateness of the proposed approach
- Potential contribution to the field
- Feasibility of the research plan
- Presentation quality within page constraints
Calibrated for preliminary research—does not penalize for incomplete methodology or limited results typical of extended abstracts.
Flash Abstract Review
For real-time feedback during the submission process. Provides:
- Immediate response for interactive author feedback
- Focus on critical issues only
- Concise, actionable output
Ideal for giving authors instant feedback as they complete their submission, improving submission quality before final submission.
Comparison
| Feature | Abstract Review | Extended Abstract Review | Flash Abstract Review |
|---|---|---|---|
| Input format | Text (JSON) | PDF file | Text (JSON) |
| Typical length | 150-500 words | 2-6 pages | 150-500 words |
| AI text detection | Yes | Yes | No |
| Plagiarism detection | Yes | Yes | No |
| Figure/image analysis | No | Yes | No |
| Literature search | Yes (full) | Yes (full) | Yes (lite) |
| Response type | Synchronous | Asynchronous | Synchronous |
| Response time | ~30 seconds | Background processing | ~15 seconds |
| Use case | Final screening | Document review | Real-time author feedback |
Response Structure
All review types return structured JSON with consistent fields for easy integration:
Summary
Brief summary of the submission in the reviewer's interpretation—useful for quick triage.
Issues
Problems categorized by priority:
| Priority | Description |
|---|---|
| High | Critical issues that may warrant rejection |
| Medium | Significant concerns to flag for reviewers |
| Low | Minor improvements |
Each issue includes:
title- Short issue identifierdescription- Detailed explanationimpact- Why this matterssolution- Suggested fixpriority- High, medium, or low
Strengths
Array of key positive aspects identified in the submission.
Additional Comments
Supplementary suggestions beyond issue identification.
Venue Fit
When conference context is provided, includes assessment of how well the submission matches the venue scope and audience:
is_good_fit- Boolean indicating overall fitfit_score- Score from 0-100venue_topics- Topics covered by the venuematching_topics- Topics from the abstract that matchmissing_elements- Elements the abstract is missing for this venuefit_explanation- Detailed explanation
Returns null if no venue is specified.
Novelty Assessment
Evaluates originality based on literature search:
novelty_score- Score from 0-100impact_potential- High, medium, or lownovelty_explanation- Brief explanation of novelty
Related Literature
Array of related works found via literature search. Each entry includes:
title- Paper titleauthors- Author namesyear- Publication yearvenue- Journal or conference name (if available)url- Link to the paper (if available)relevance- Why this work is relevant
AI Text Detection (Full review only)
Detection of AI-generated content:
ai_probability- Probability (0-1) that text is AI-generatedclassification- "human", "ai", or "mixed"headline- Summary of the detection result
Returns null if detection fails. Not included in Flash Abstract Review.
Plagiarism Detection (Full review only)
Detection of potential plagiarism:
plagiarism_detected- Boolean indicating if plagiarism was foundpercent_plagiarized- Percentage of text that appears plagiarizedmatched_sources- Array of matched source URLs and similarity scores
Returns null if detection fails. Not included in Flash Abstract Review.
Input Parameters
Abstract Review & Flash Abstract Review
| Parameter | Required | Description |
|---|---|---|
abstract | Yes | The submission text (min 50 characters) |
title | No | Submission title |
authors | No | Author list with names and affiliations |
venue | No | Target conference or journal name for venue fit assessment |
Extended Abstract Review
| Parameter | Required | Description |
|---|---|---|
file | Yes | PDF file of the extended abstract (max 6 pages) |
venue | No | Target conference or journal name for venue fit assessment |
public_view | No | If true, make the analysis publicly accessible and return URL |
notify_email | No | If true, send email notification when analysis completes |
Integration Patterns
Submission-Time Screening
Run Flash Abstract Review as authors submit to provide immediate feedback, allowing them to improve their abstract before final submission.
Batch Processing
Process accepted submissions through Abstract Review or Extended Abstract Review to flag potential issues for program committee review.
Reviewer Support
Include ReviewerZero analysis in reviewer materials to help reviewers focus on content quality rather than formatting or basic issues.
Venue Context
Providing venue information improves review quality:
- With venue context - Tailored feedback on scope fit and audience alignment
- Without venue context - General academic quality assessment
Venue context can include conference name, topics of interest, or call for papers text.
Related Features
- AI Review - Full manuscript review for journal submissions
- Guideline Compliance - Check venue-specific formatting requirements
- Integrations - Connect with cOASIS and other submission systems