# Full Thesis / Manuscript Review Template

ไฟล์นี้เป็น template ตัวอย่างสำหรับผลตรวจเต็ม

ใน workspace จริง ให้ AI สร้างไฟล์ผลลัพธ์ชื่อ:

`04_review_notes/01_full_review.md`

หลังจากสำรวจไฟล์และสร้าง:

- `04_review_notes/00_inventory.md`

## Executive Summary

- Overall readiness:
- Blocking issues:
- Most urgent next action:

## Required Missing Inputs

| Missing input | จำเป็นมาก / ควรมี / ไม่จำเป็นในรอบนี้ | Why it matters | Where to get it |
|---|---|---|---|
|  |  |  |  |

## Field-Level-Venue Calibration

- Field/subfield:
- Degree level:
- Target venue or venue category:
- Expected contribution level:

## Title and Abstract

- Alignment:
- Overclaim / underclaim:
- Suggested fixes:

## Problem Significance

- Problem clarity:
- Problem statement discipline:
- Prior attempts / existing evidence:
- Unresolved need:
- Research gap:
- Value / weight of the problem:

## Research Logic Stress Tests

| Test | Pass / Fail / Missing | Evidence location | Impact | Required fix |
|---|---|---|---|---|
| Problem survival |  |  |  |  |
| Genuine failure |  |  |  |  |
| Mandatory gates |  |  |  |  |
| Measurement ceiling |  |  |  |  |
| No-new-problem guardrail |  |  |  |  |

## Literature Review and Reference Quality

- Synthesis quality:
- Missing citation families:
- Weak / replaceable references:
- Direct prior work:
- Cross-domain support:

## Objective-Problem-Result Traceability

| Problem/gap | Prior attempts/evidence | Unresolved need | Objective/RQ | Alternatives/selection rationale | Method | Result/evidence | Output | Outcome/by-product | Gap |
|---|---|---|---|---|---|---|---|---|---|
|  |  |  |  |  |  |  |  |  |  |

## Output, Outcome, By-Product, and Claim Discipline

- Output that demonstrates problem resolution:
- Claimed outcome and whether it was measured:
- By-products / side effects / cost / burden:
- Claims that exceed output or measured outcome:

## Method and Alternative Approaches

- Does the method make academic sense:
- Missing baseline / comparison:
- Alternative approaches commonly used:
- Selection rationale:
- Reasonableness for target venue:

## Data, Baselines, Evaluation, and Feasibility

- Dataset/data source:
- Baselines:
- Metrics:
- Construct / indicator / ground truth fit:
- Mandatory pass/fail gates:
- Raw results / scripts / reproducibility:
- Feasibility risks:

## Ethics, IRB, and Legal/Regulatory Compliance

- Human subjects / personal data:
- Consent / anonymization:
- Scraping / platform ToS:
- Dataset license / copyright:
- IRB/ethics statement needed:

## LLM Use and Research Responsibility

- Possible AI-generated unsupported claims:
- Need to disclose AI use:
- Claims that must be verified from original sources:

## Writing, Language, and Document Hygiene

- Typos / spelling:
- Acronyms not defined:
- Thai-English mixing:
- Forward references to later content:
- Generic AI writing:

## Tables and Figures

- Clarity:
- Readability:
- Caption quality:
- In-text reference location:

## Blocking Issues

1.
2.
3.

## Action Plan

| Priority | Action | Owner | Evidence needed | Expected output |
|---|---|---|---|---|
| High |  |  |  |  |

## Review State For Next Round

- Reviewed this round:
- Completed items:
- Remaining items:
- Missing evidence needed:
- Next prompt to continue: