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Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review. How this is built →

Evidence (1 claims)

Search and filter individual claims pulled from the papers. Looking for a specific finding ("what's the effect on wages?"), you're in the right place. Want to compare whole outcome categories against each other instead? Use the Evidence Explorer.

The board below groups claims two ways: by broad theme (nine paper-level topics) and by outcome category (the 34 claim-level outcomes that the Explorer and Syntheses also use).

Browse by theme

Nine broad, paper-level topics. Click one to filter the claims below.

Adoption
10085 claims
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Productivity
8974 claims
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Governance
8062 claims
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Human-AI Collaboration
7749 claims
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Org Design
5057 claims
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Innovation
4896 claims
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Labor Markets
4088 claims
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Skills & Training
3372 claims
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Inequality
2377 claims
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Claims by outcome category

Counts by direction of finding. These are the same 34 outcome categories the Explorer compares and the Syntheses are written for. A linked row has a published synthesis.

Outcome Positive Negative Mixed Null Total
Other 882 244 117 1097 2424
Governance & Regulation 1010 469 229 135 1875
Organizational Efficiency 977 235 149 90 1462
Technology Adoption Rate 781 299 143 128 1362
Research Productivity 506 155 74 363 1110
Output Quality 555 219 71 70 915
Decision Quality 395 200 95 54 751
Firm Productivity 523 67 101 27 724
AI Safety & Ethics 262 309 75 36 688
Market Structure 195 201 135 30 566
Task Allocation 248 77 96 38 464
Innovation Output 300 34 55 20 411
Skill Acquisition 207 75 65 21 368
Employment Level 138 67 119 24 350
Fiscal & Macroeconomic 156 80 53 33 329
Task Completion Time 211 38 13 16 280
Firm Revenue 183 52 29 5 270
Consumer Welfare 131 77 48 13 269
Inequality Measures 50 141 54 9 254
Worker Satisfaction 104 85 25 13 227
Error Rate 87 112 11 5 215
Automation Exposure 69 69 37 20 198
Wages & Compensation 102 49 31 11 193
Team Performance 115 30 30 11 187
Regulatory Compliance 88 74 17 7 186
Training Effectiveness 109 22 14 21 168
Developer Productivity 116 21 15 8 161
Job Displacement 12 92 26 1 131
Hiring & Recruitment 57 12 9 5 83
Skill Obsolescence 6 59 10 2 77
Social Protection 43 17 8 2 70
Creative Output 35 21 9 4 70
Labor Share of Income 18 23 17 1 59
Worker Turnover 15 16 4 35
Industry 1 1
Medium-scale industries in zones like Butibori and Hingna have traditionally been labor-intensive.
Descriptive statement in the paper about the nature of current industries in Nagpur/MIDC; no sample size or quantitative data reported in the excerpt.
high null result PREDICTING THE FUTURE OF JOBS IN NAGPUR DISTRICT MIDC: THE R... labor-intensity of industries