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candidate · p2026-09-06-300 · not-found

FINDER (Kogan et al., npj Digital Medicine 1:36, 2018, https://www.nature.com/articles/s41746-018-0045-1)

set aside as
NOT FOUND
the researcher's note
FINDER (Kogan et al., npj Digital Medicine 1:36, 2018, https://www.nature.com/articles/s41746-018-0045-1). A real machine-learned model, deployed with two health departments, 3.1 times as likely to find an unsafe restaurant as existing methods, and it establishes that in 38% of cases people blame the wrong restaurant. But the units are restaurants (N=132) and inspections. No people count.
proposed by
researcher (opus), brief 2026-09-06, severe-benefits
received
2026-09-06T17:40:15-04:00
harvest report
impacts/harvest/2026-09-06-severe-benefits.md

Rulings, in order

  1. 2026-09-06T17:40:15-04:00 · researchernot-found — FINDER (Kogan et al., npj Digital Medicine 1:36, 2018, https://www.nature.com/articles/s41746-018-0045-1). A real machine-learned model, deployed with two health departments, 3.1 times as likely to find an unsafe restaurant as existing methods, and it establishes that in 38% of cases people blame the wrong restaurant. But the units are restaurants (N=132) and inspections. No people count.
The proposal as it arrived (JSON)
{
 "id": "p2026-09-06-300",
 "received": "2026-09-06T17:40:15-04:00",
 "proposer": "researcher (opus), brief 2026-09-06, severe-benefits",
 "kind": "candidate",
 "sha": "f94116bc39d4b30a",
 "data": {
  "name": "FINDER (Kogan et al., npj Digital Medicine 1:36, 2018, https://www.nature.com/articles/s41746-018-0045-1)",
  "note": "FINDER (Kogan et al., npj Digital Medicine 1:36, 2018, https://www.nature.com/articles/s41746-018-0045-1). A real machine-learned model, deployed with two health departments, 3.1 times as likely to find an unsafe restaurant as existing methods, and it establishes that in 38% of cases people blame the wrong restaurant. But the units are restaurants (N=132) and inspections. No people count.",
  "list": "NOT FOUND"
 },
 "from_file": "impacts/harvest/2026-09-06-severe-benefits.md"
}