Please assess the completion status of the following clinical trial:

Trial Title: Study Assessing Effects of JZP-110 on Driving Performance in the Treatment of Excessive Sleepiness in Narcolepsy

Study Design Characteristics:
- Allocation: RANDOMIZED
- Intervention Model: CROSSOVER
- Observational Model: None
- Primary Purpose: TREATMENT
- Time Perspective: None
- Masking: DOUBLE
- Phase: PHASE2
- Number of Arms: 2.0

Eligibility Criteria:
Inclusion Criteria:~1. Male or female, age 21 to 65 years inclusive~2. Diagnosis of narcolepsy per International Classification of Sleep Disorders (ICSD-3) or Diagnostic and Statistical Manual of Mental Disorders 5th Edition (DSM-5)~3. BMI 18 to \<40 kg/m2~4. Willing and able to provide written informed consent~Exclusion Criteria:~1. Female subjects who are pregnant, nursing, or lactating~2. Moderate or severe sleep apnea~3. Any other clinically relevant medical, behavioral, or psychiatric disorder other than narcolepsy that is associated with excessive sleepiness~4. History or presence of bipolar disorder, bipolar related disorders, schizophrenia, schizophrenia spectrum disorders, or other psychotic disorders according to DSM-5 criteria~5. History or presence of any unstable medical condition, behavioral or psychiatric disorder (including active suicidal ideation), or surgical history that could affect the safety of the subject or interfere with study efficacy and/or safety assessments per the judgment of the investigator~6. History of bariatric surgery within the past year or a history of any gastric bypass procedure~7. Presence or history of significant cardiovascular disease~8. Unable to washout or refrain from taking any over-the-counter (OTC) or prescription medications that could affect sleep-wake function

- Gender: ALL
- Minimum Age: 21 Years
- Maximum Age: 65 Years
- Healthy Volunteers: f

Study Arms:
- Placebo (Type: PLACEBO_COMPARATOR): Once daily dosing
- JZP-110 (Type: ACTIVE_COMPARATOR): 150 mg/day for first 3 days and 300 mg/day for next 4 days

Based on this trial design, predict the completion outcome and termination type (if applicable).