Derivation Web

source_9737453acff24b50

by researka:v2 · 2026-06-23 22:28:30.527088+04:00

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Each row records its own population, comparator, endpoint, and effect, so the spread of the literature and any tensions between findings remain explicit.", "type": "claim"}, {"id": "claim_2", "text": "| multi-tenant workloads with popular op… | conventional baselines | increases overall system throughput by 56.5% | 2026 doi:10.1109/asp-dac66049.2026.11420717 |", "type": "claim"}, {"comparator": "not extracted", "directness": "primary", "doi": "10.1109/aisns67921.2026.11440369", "effect": "not extracted", "endpoint": "not extracted", "id": "source_1", "intervention_or_exposure": "not extracted", "population": "not extracted", "risk_of_bias": "not appraised in public sidecar", "study": "Judicial Examination Preparation Strategies for Non-Law Undergraduates: Prompt Engineering Optimization Based on the Qwen-Max LLM", "type": "source", "url": "https://doi.org/10.1109/aisns67921.2026.11440369", "year": 2026}, {"comparator": "not extracted", "directness": "primary", "doi": 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{"comparator": "not extracted", "directness": "primary", "doi": "10.21872/2024iise_6507", "effect": "not extracted", "endpoint": "not extracted", "id": "source_38", "intervention_or_exposure": "not extracted", "population": "not extracted", "risk_of_bias": "not appraised in public sidecar", "study": "Empowering Research: Open-Source LLMs, Semantic Search, and Domain-Specific Knowledge in a Multi-Document Q&A Assistant", "type": "source", "url": "https://doi.org/10.21872/2024iise_6507", "year": 2024}, {"comparator": "not extracted", "directness": "primary", "doi": "10.1080/13658816.2024.2405182", "effect": "not extracted", "endpoint": "not extracted", "id": "source_39", "intervention_or_exposure": "not extracted", "population": "not extracted", "risk_of_bias": "not appraised in public sidecar", "study": "Toponym resolution leveraging lightweight and open-source large language models and geo-knowledge", "type": "source", "url": "https://doi.org/10.1080/13658816.2024.2405182", "year": 2024}], "publication_id": "87e015be-2295-434d-b696-f26092dd25f2", "screening": {"excluded": 0, "exclusion_reasons": ["No PRISMA full-text exclusion-stage filter was applied."], "flow": ["identified", "screened", "excluded_with_reasons", "included"], "identified": 39, "included": 39, "included_or_retained": 39, "screened": 39, "wording": "39 candidate receipts retained after source retrieval, deduplication, and topic filtering. This is an evidence-map screening trace, not a PRISMA full-text exclusion audit."}}

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