Unverified50% confidenceBenchmarkExact time
On night data it had never been trained on, the star false-positive rate dropped from about half to 7%, while still capturing 90% of meteors.
1
Sources
50%
Confidence
Long-term
Relevance
10/26/2026
First Seen
Sources
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Related Claims
UnverifiedOn the Skill side, 37.1% have fewer than 100 stars and 78.1% fewer than 1,000, with a median of 160.60% similarUnverifiedReducing false positives lowers the cost of subsequent ground-based telescope follow-up, but missing genuine planet candidates (approximately 27% miss rate) may cause valuable targets to be overlooked, requiring a trade-off between recall and precision.56% similarUnverifiedFine-tuning GridSFM with just 10 scenarios can reduce cost error to below 2% and bring feasibility detection above 90%; using 1,000 scenarios can reach in-sample accuracy levels.55% similarUnverifiedIn the original text, both the "game-changer" assessment and the star count of 251,159 lack independent verification, and the descriptions in the hands-on testing section also lean qualitative rather than quantitative.53% similarUnverifiedIn that test, the decision model Jev's accuracy trailed Gemini by only about 1.6 percentage points53% similar
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