{"ok":true,"service":"kelly-glass-lab","route":"/api/glass-lab/sector-labs/science_research","generatedAt":"2026-07-08T07:05:12.383Z","readOnly":true,"mutationAllowed":false,"publicUserWriteAllowed":false,"id":"science_research","title":"Science & Research Lab","template":{"id":"science_research","label":"Science & Research Lab","shortLabel":"Research","tagline":"Research claims become source-backed hypotheses, not authority-by-citation.","bestFor":"Showing KELLY using papers, metadata, and citations as evidence that still needs reality closure.","safeClaim":"Shows research metadata, citation trails, claim uncertainty, and source provenance.","blockedClaim":"No medical, scientific, or safety conclusion without domain review and evidence closure.","focusLabel":"Pick a research corpus","focusQuestion":"Which research signal should KELLY inspect?","questionLabel":"What research question are you asking?","responseNode":null,"sourceIds":[],"focusPresets":[{"id":"crossref","label":"Crossref","riskType":"published metadata"},{"id":"arxiv","label":"arXiv","riskType":"preprint signal"},{"id":"wikimedia","label":"Wikimedia AQS","riskType":"public attention signal"},{"id":"openalex","label":"Open scholarly graph","riskType":"knowledge graph context"}],"questionPresets":[{"id":"claim_strength","label":"Claim strength","nodeId":"SCIENCE:CLAIM_STRENGTH","userQuestion":"How strong is this claim?"},{"id":"replication_risk","label":"Replication risk","nodeId":"SCIENCE:REPLICATION_RISK","userQuestion":"What could fail to replicate?"},{"id":"attention_shift","label":"Attention shift","nodeId":"SCIENCE:ATTENTION_SHIFT","userQuestion":"Is attention changing?"},{"id":"source_quality","label":"Source quality","nodeId":"SCIENCE:SOURCE_QUALITY","userQuestion":"Can KELLY trust this source?"}],"defaultNodes":["SCIENCE:SOURCE","SCIENCE:CITATION_CONTEXT","SCIENCE:CLAIM","SCIENCE:FALSIFIER","SCIENCE:MEMORY_ELIGIBLE"],"defaultEdges":["SCIENCE:SOURCE -> SCIENCE:CLAIM","SCIENCE:FALSIFIER -> SCIENCE:CLAIM","SCIENCE:CLAIM -> SCIENCE:MEMORY_ELIGIBLE"]},"persona":{"audience":"Showing KELLY using papers, metadata, and citations as evidence that still needs reality closure.","primaryQuestion":"Which research signal should KELLY inspect?","method":"Shows research metadata, citation trails, claim uncertainty, and source provenance. KELLY routes this through tagged intake, causal pressure nodes, forecast lanes, settlement, calibration, and replayable memory evidence.","proofPromise":"Every useful view should expose source provenance, causal node, settlement rule, calibration result, and replay/memory eligibility when available.","liveApp":"/sector-labs/science-research"},"advantage":{"headline":"Why KELLY can be stronger here","claim":"KELLY is designed to win by being scoreable: every forecast should connect to source evidence, causal assumptions, falsifiers, settlement, calibration, replay, and memory lineage.","whyItMatters":"A forecast platform is only as good as its ability to be wrong in public, adjust from reality, and improve the next forecast without hiding the chain.","whereProofLives":["Source plan: the approved feed rows on this page","Forecast method: the doctrine timeline on this page","Authority evidence: Authority Index and replay receipts","Score evidence: settlement and calibration records","System evidence: Brain Fleet, generality evidence, and advanced proof labs"],"superiorityBoundary":"KELLY should be called better only where its scorecards, calibration, replay receipts, and source coverage outperform alternatives. This page is built to make that measurable.","sectorEdge":"Shows research metadata, citation trails, claim uncertainty, and source provenance."},"uxPatterns":["Citation-forward answer pattern: put sources and proof next to claims.","Forecasting track-record pattern: keep probability, resolution rule, score, and history together.","Watchlist pattern: let users inspect a saved set without writing ground truth.","Alert/status pattern: show what changed, what is stale, and what KELLY is watching."],"researchReferences":[{"name":"TradingView","url":"https://www.tradingview.com/features/","lesson":"Charts, alerts, screeners, replay, multi-chart layouts, and fast command/search patterns make market work feel immediate."},{"name":"Metaculus","url":"https://www.metaculus.com/faq/","lesson":"Forecast questions need clear resolution rules, track records, scoring, calibration, and aggregation history."},{"name":"Windy / Windy.app","url":"https://windy.app/","lesson":"Weather users need maps, layers, local points, alerts, history, model comparison, and fast location context."},{"name":"Perplexity","url":"https://www.perplexity.ai/help-center/en/articles/10352895-how-does-perplexity-work.html","lesson":"Answer users expect citations beside claims, follow-up context, and checkable source trails."}],"liveStatus":{"state":"warming_specialized_read_only","sourcePresentCount":3,"sourceCount":3,"brainFleetHealthy":4,"visibleAuthorityRows":0,"generatedHypotheses":0,"realityClosures":0,"marketFeedAvailable":null},"sources":[{"id":"crossref","label":"Crossref","cost":"free_no_key","keyName":null,"present":true,"note":"Publication metadata and DOI records."},{"id":"arxiv","label":"arXiv","cost":"free_no_key","keyName":null,"present":true,"note":"Preprint metadata and research trend signals."},{"id":"wikimedia-aqs","label":"Wikimedia Analytics","cost":"free_no_key","keyName":null,"present":true,"note":"Public attention and pageview context."}],"forecastMethod":["Approved source intake only","Tag source, freshness, domain, and authority","The Book of Why: ask what caused the change, what would have happened otherwise, and what evidence can falsify the causal story","Thinking in Systems: map feedback loops, delays, stocks, flows, constraints, and downstream effects","Thinking, Fast and Slow: separate fast pattern recognition from slower deliberate verification","Superforecasting: start with base rates, update incrementally, keep probabilities explicit, and score the forecast later","Thinking in Bets: treat every forecast as a wager against reality with a clear settlement rule","Build causal pressure nodes and forecast cones","Separate KELLY forecast from user forecast","Track falsifiers, uncertainty, and competing explanations","Close against reality","Score calibration and error direction","Apply continuous micro-adjustments after settlement to improve future accuracy","Create replayable memory evidence when eligible"],"proofSurfaces":{"authorityIndex":"/authority-index","competitiveProofLabs":"/advanced-proof-labs","agiReadiness":"/generality-evidence","brainFleet":"/api/brain-fleet","templates":"/api/sector-labs","marketSummary":null},"metrics":{"visibleCells":0,"authorityCoverage":null,"readinessScore":0,"brainFleetHealthy":4,"sourcePresentCount":3,"sourceCount":3},"marketSummary":null,"boundary":{"readOnly":true,"publicUserWriteAllowed":false,"noAdviceSubstitute":"No medical, scientific, or safety conclusion without domain review and evidence closure.","noClaimOfPerfectPrediction":true,"proofRequiredForEveryForecast":true},"proofScore":{"score":70,"grade":"strong","sourceCoverage":100,"brainCoverage":100,"authorityVisible":false,"proofSurfaceCoverage":100,"readinessContribution":0,"interpretation":"Score combines source coverage, brain fleet health, visible authority evidence, proof links, readiness map, and doctrine coverage. It is a product proof score, not a promise of forecast accuracy."}}