ADHD Spectrum Explorer
A synthetic threshold demonstration uses a special baseline
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This explains a synthetic display, not clinical prevalence, diagnostic accuracy or treatment guidance. The saved threshold sixty five returns a locked fixture: twelve hundred selected, comprising six hundred forty assigned true positives and five hundred sixty assigned false positives. Those add to twelve hundred. The assumed impaired population is eight hundred, with one hundred sixty assigned misses. At zero point three pixels per count the selected components measure one hundred ninety two and one hundred sixty eight, and misses measure forty eight. These classifications come from fixture values rather than observed patient outcomes. Other thresholds use a normal-tail approximation for total selected and a separate logistic sensitivity for assigned true positives. At threshold sixty two, the logistic argument is zero, making sensitivity one half and assigned true positives four hundred of eight hundred. Misses are then four hundred. At zero point five pixels per person those two bars both measure two hundred. The sixty five fixture instead returns six hundred forty true positives, so it does not follow that same generic sensitivity formula. The video does not interpret either branch as real clinical evidence. The visual scatter initializes six hundred fifty random representative dots from a clipped normal draw, then assigns impairment by a different logistic probability centered at sixty. The aggregate calculations assume ten thousand people. At zero point zero three pixels per represented count, the sample size is nineteen point five pixels while the aggregate population is three hundred. The dots are not ten thousand individually measured records. Spectrum mode uses a threshold above one hundred and returns zero selected, eight hundred assigned misses and ninety two hundred assigned negatives. It illustrates a software branch rather than proving that dimensional support has any measured clinical outcome.