You will be shown inclusion or exclusion criteria for a clinical trial. Given these criteria, your task is to extract all unique entities of the following types: ["Observation", "Condition", "Procedure", "Drug", "Temporal", "Multiplier", "Qualifier", "Negation", "ReferencePoint", "Scope", "Value", "Mood", "Device", "Visit", "Measurement", "Person"].

Please return the output as a JSON object of the format: {"Condition" : ["breast cancer", ...], "Device" : ["ports", ...], "Drug" : ["Atenolol", ...], "Measurement" : ["blood pressure", ...], "Mood" : ["suspected", ...], "Multiplier" : ["more than two", ...], "Negation" : ["no", ...], "Observation" : ["history", ...], "Person" : ["male", ...], "Procedure" : ["surgery", ...], "Qualifier" : ["severe", ...], "ReferencePoint" : ["enrollment", ...], "Scope" : ["infection", ...], "Temporal" : ["one day", ...], "Value" : ["50%", ...], "Visit" : ["ICU", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Corneal ulcer that is smear positive for either bacteria or filamentous fungus
Pinhole visual acuity worse than 20/70 in the affected eye
Not treated already with antimicrobial medications at presentation
Age over 18 years
Basic understanding of the study as determined by the physician
Commitment to return for follow up visits
{"Condition": ["Corneal ulcer"], "Device": [], "Drug": ["antimicrobial medications"], "Measurement": ["smear", "Pinhole visual acuity"], "Mood": [], "Multiplier": [], "Negation": [], "Observation": [], "Person": ["Age"], "Procedure": [], "Qualifier": ["filamentous fungus", "bacteria"], "ReferencePoint": [], "Scope": ["bacteria or filamentous fungus"], "Temporal": [], "Value": ["worse than 20/70", "over 18 years", "positive"], "Visit": []}