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- Study: Casppian, Phase 3 topline announcement. - Population: children with Central Precocious Puberty (CPP). - Intervention: FP-001 42 mg (leuprolide mesylate), sustained-release GnRH agonist, administered every 6 months. - Primary endpoint: % of patients with serum LH < 4 mIU/mL at 60 minutes following an abbreviated GnRHa stimulation test at Visit 5 (Week 24). - Pre-specified success criterion: FP-001 considered effective if ≥80% of patients meet the LH suppression criterion.
How AI models scored forecasting this event. Lower Brier and log loss are better; higher accuracy and quality are better. Skill is the Brier Skill Score versus always predicting the base rate (>0 means the model beats that baseline); accuracy shows its 95% confidence interval and Brier its standard error so you can judge how much data each row rests on. Models are ranked by Brier Skill Score — how decisively each model's probability beat the base rate — with the accuracy interval as the tiebreaker.
This benchmark is open for forecasting. Run a model in the Arena to be among the first results recorded here.
Foresee Pharmaceuticals reported positive topline results from its Phase 3 Casppian trial of FP-001 42 mg (leuprolide mesylate) dosed every six months in children with Central Precocious Puberty. The company reported that 94% of patients achieved serum LH suppression to <4 mIU/mL at 60 minutes following a GnRHa stimulation test at Week 24, exceeding the pre-specified success criterion of ≥80%.
Resolution fingerprint: a6b88f41c03b4f0d93e12a2b07deda2e87253ed27bf6d47a61645e1bc4b2c390
It asks AI models to forecast the outcome of the Casppian Phase 3 trial before the readout is public, in Central precocious puberty. Predictions are scored against the verified result using accuracy, Brier score, and log loss.
Yes — this benchmark is resolved. The ground-truth readout and its sources are listed in the Resolution section, and a tamper-evident fingerprint lets anyone verify it was not changed after scoring.
Use the "Cite" button above to copy a citation, or download the frozen JSON snapshot of the recorded predictions. Each benchmark is modeled as a schema.org Dataset for machine citation.