AXIOM BOINC SESSION RESULTS LOG Session date: 2026-03-04 Session scope: Part 1 validation/credit/cleanup + Part 2 deployment/experiment design RESULTS REVIEWED AND CREDIT AWARDED - Newly successful `exp_*` results reviewed this session: 26. - Credit policy applied: elapsed-time tiers (>=850s:24, >=700s:22, >=500s:18, >=200s:10, >=100s:7, >=30s:4, <30s:2). - Total credit awarded this session: 489 (within 10,000 session cap). - Per-user credit awarded: - PyHelix: +217 - kotenok2000: +200 - Vato: +44 - dthonon: +18 - _Scandinavian_: +10 - Post-credit status: uncredited successful `exp_*` results remaining = 0. - Counter updates: `credited_count.txt` incremented by 26 (now 26); `total_results_count.txt` set to 26. STUCK/BROKEN TASK CLEANUP - Dead-host >12h running abort pass: 0 tasks updated. - >48h hard-ceiling abort pass: 0 tasks updated. - Failure-pattern triage: outcome=6 failures remain concentrated on GPU hosts 9 and 340; pattern is host-specific no-reply/abort, not cross-host script failure. - Experiment-wide abort actions this session: none. NEW EXPERIMENT DESIGN AND NOVELTY CHECK - New script seeded: `abx_cycle_hgt_delay_resonance.py` (CPU, numpy-only). - Research objective: test delay-induced resonance in adaptive antibiotic cycling under horizontal gene transfer and compliance-fatigue coupling. - Novelty check documented in session findings: - Prior literature covers antibiotic cycling and HGT dynamics separately, and discusses delayed-surveillance adaptive policies. - Direct factorial tests of delay x HGT intensity x fatigue interaction on multidrug-resistance takeover timing are limited. - Retained novelty: identify regimes where delayed adaptive control can outperform at low delay but become worse than fixed cycling and zero-delay adaptive control at high HGT + fatigue. - Factorial design in deployed script: - policy {fixed, adaptive} - cycle period {3, 7, 14} - surveillance delay {0, 2, 6} - HGT rate {0.0015, 0.0040} - fatigue rate {0.02, 0.10} - Output metrics: time-to-RAB50, resistance AUC, final/peak RAB, compliance, switch rate, interaction signal. DEPLOYMENT SUMMARY (THIS SESSION) - CPU top-up (appid=1): 3536 WUs created (RAM>=6GB host filter). - GPU top-up (appid=2): 310 WUs created (GPU-aware scripts only). - New experiment seed wave: 120 CPU WUs for `abx_cycle_hgt_delay_resonance.py`. - Queue snapshot post-deploy: unsent=0, in_progress=1026, active_hosts=94. - Capacity controls: per-host cap enforcement applied; overfilled GPU running queues on hosts 340 and 9 trimmed to target. KEY SCIENTIFIC FINDINGS 1. No new numeric scientific effect estimate was extracted from this validation batch because sanitized artifacts for newly credited tasks contained completion metadata only (no numeric payload). 2. Operationally, current failure burden is localized to GPU hosts 9 and 340 (outcome=6), supporting a host reliability issue rather than an experiment-wide algorithmic instability. 3. A new biology/evolution experiment family was added with a documented novelty gap: delay x HGT x compliance-fatigue interactions in adaptive antibiotic cycling, designed to test a predicted non-monotonic resonance regime. END OF SESSION LOG