Iteration 1 Summary
Business Context: The protein institute aims to optimize the allocation of research resources across different institutions to maximize the total sequence identity to human proteins, given constraints on building capacities and institutional enrollments.
Optimization Problem: Optimize the allocation of research resources to maximize the total sequence identity to human proteins across institutions, subject to constraints on building capacities and total available resources.
Objective: maximize total_sequence_identity = ∑(protein.sequence_identity_coefficient[i] * ResourceAllocation.allocation[i])
Tables Created: 1
Tables Modified: 2
Tables Deleted: 0
Key Change: Schema changes include creating new tables for missing optimization data, modifying existing tables to improve mapping adequacy, and updating business configuration logic for scalar parameters and formulas.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 3

Triple Expert Data: Values were determined based on typical research resource allocation scenarios, ensuring that the total resources and building capacities align with realistic institutional capabilities.