SSC GD Constable 2024 भर्ती: पूरी जानकारी

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The Staff Selection Commission (SSC) has officially announced the Constable GD Result 2025. Candidates who appeared for the examination can now check their results on the official websites - ssc.gov.in or ssc.nic.in. The results include category-wise cut-offs, merit lists, and individual scorecards. This year, the SSC conducted the examination for 53,690 Constable (General Duty) positions across various paramilitary forces including BSF, CISF, CRPF, SSB, ITBP, Assam Rifles, SSF, and NCB. The examination was held from February 4 to February 25, 2025. Candidates who qualify the written examination will be required to appear for Physical Standard Test (PST) and Physical Efficiency Test (PET). The final selection will be based on performance in Computer Based Examination (CBE), PST/PET, medical examination, and document verification. The final SSC GD score is calculated based on the marks obtained in the CBE. Each correct answer carries 2 marks, while 0.25 marks are deducted for each incorrect answer. Shortlisted candidates must complete document verification for final appointment. As per the SSC pay matrix, the salary for Constable GD positions ranges from ₹21,700 to ₹69,100 per month (Pay Level 3) for most forces, while NCB positions have a salary range of ₹18,000 to ₹56,900.

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Detection Metrics

Perplexity Score

-

Low (AI) High (Human)

Burstiness

-

Low (AI) High (Human)

Vocabulary Diversity

-

Low (AI) High (Human)

Semantic Coherence

-

Low (Human) High (AI)

Content Origin Verdict

Human-Written

Confidence: 92.7%

Our advanced analysis indicates this content has a high probability of being human-written. Key indicators include moderate perplexity, diverse vocabulary usage, natural sentence variation, and the presence of domain-specific terminology consistent with authentic human authorship.

Detailed Analysis Breakdown

Sentence Length

18.2 words

Short Long

Readability

Grade 12

Simple Complex

Content Patterns

Human-like

AI Pattern Human Pattern

AI Model Match

Low Probability

No Match High Match

Advanced Detection Features

Linguistic Analysis

Deep examination of syntax, grammar patterns, and linguistic structures to identify AI-generated text signatures.

AI Model Fingerprinting

Identifies patterns specific to popular AI models like GPT-4, Claude, and Gemini based on writing patterns.

Semantic Network

Maps conceptual relationships and idea development to detect artificial coherence patterns.

Historical Comparison

Compares against a database of 5M+ verified human and AI documents for pattern matching.

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