SRC03-E01 — Semantic Scholar: Discovery Without Analytical Framework¶


Research	R0049 — Landscape Scan
Run	2026-03-31-02
Query	Q003
Source	SRC03
Evidence	E01

Description¶

Semantic Scholar offers structured discovery features (TLDR, Reader, structured tables) but no analytical rigor framework.

URL¶

https://www.semanticscholar.org/

Extract¶

220M papers, AI TLDR summaries, relevance-based ranking. Semantic Reader augments PDFs with inline citation cards and skimmable highlights. Structured tables enable systematic data extraction. Smart filters narrow by methodology, dataset, or outcomes.

Relevance to Hypotheses¶

Hypothesis	Relevance	Strength
H3 — Partial features	Supports (structured output, no analytical rigor)	Moderate

Feature checklist: Calibrated probability: No. Bias assessment: No. Competing hypotheses: No. Search transparency: Partial (shows search results). Self-audit: No.