<invoke name="tool_call"> <parameter name="reasoning">Compute pairwise correlations among key behaviours and outcomes in one query to find counterintuitive relationships.</parameter> <parameter name="tool">query_sql</parameter> <parameter name="args">{"sql": "SELECT COUNT(*) n, corr(bedtime_phone_minutes,total_sleep_hours) phone_sleep, corr(bedtime_phone_minutes,sleep_latency_min) phone_latency, corr(bedtime_phone_minutes,next_day_fatigue_score) phone_fatigue, corr(screen_brightness_pct,sleep_latency_min) bright_latency, corr(blue_light_filter_active,sleep_latency_min) filter_latency, corr(blue_light_filter_active,total_sleep_hours) filter_sleep, corr(caffeine_post_5pm_mg,total_sleep_hours) caf_sleep, corr(caffeine_post_5pm_mg,sleep_latency_min) caf_latency, corr(caffeine_post_5pm_mg,deep_sleep_pct) caf_deep, corr(physical_activity_min,total_sleep_hours) act_sleep, corr(physical_activity_min,next_day_fatigue_score) act_fatigue, corr(total_sleep_hours,next_day_fatigue_score) sleep_fatigue, corr(morning_alarm_snoozes,next_day_fatigue_score) snooze_fatigue, corr(age,total_sleep_hours) age_sleep, corr(deep_sleep_pct,next_day_fatigue_score) deep_fatigue, corr(rem_sleep_pct,next_day_fatigue_score) rem_fatigue, corr(sleep_latency_min,total_sleep_hours) latency_sleep FROM raw.bedtime_screentime_sleep_debt", "purpose": "Correlation scan for counterintuitive relationships", "source": "raw"}</parameter> </invoke>