You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. 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:

The Effects of Messages about the Causes of Obesity on Disciplinary Action Decisions for Overweight Employees We investigated the impact of messages about the causes of obesity (controllable or uncontrollable) on the disciplinary action consequences selected for obese employees in response to a work-related mistake. Participants read about either the controllable or uncontrollable causes of obesity before reviewing an ostensible employee file that included a description of an employee mistake. Depending on condition, the file contained a photo of the employee that either depicted them as obese or average weight. Participants were more willing to withhold a raise or promotion from an obese employee than from an average - weight employee. Further, there was little evidence that the messages about the causes of obesity affected participants ' perceived control and self-efficacy for healthy behaviors.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["obese", "self-efficacy", "Decisions", "Obesity", "Overweight", "obesity"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["controllable", "perceived control"], "Food": [], "HealthCareActivity": [], "InjuryOrPoisoning": [], "IntellectualProduct": ["Messages", "messages"], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["participants", "Participants"], "ProfessionalOrOccupationalGroup": ["employees", "Employees", "employee"], "ResearchActivity": [], "SpatialConcept": [], "Virus": []}