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 Psychometric Costs of Applicants ' Faking: Examining Measurement Invariance and Retest Correlations Across Response Conditions This study examines the stability of the response process and the rank-order of respondents responding to 3 personality scales in 4 different response conditions. Applicants to the University College of Teacher Education Styria (N = 243) completed personality scales as part of their college admission process. Half a year later, they retook the same personality scales in 1 of 3 randomly assigned experimental response conditions: honest, faking-good, or reproduce. Longitudinal means and covariance structure analyses showed that applicants ' response processes could be partially reproduced after half a year, and respondents seemed to rely on an honest response behavior as a frame of reference. Additionally, applicants ' faking behavior and instructed faking (faking-good) caused differences in the latent retest correlations and consistently affected measurement properties. The varying latent retest correlations indicated that faking can distort respondents ' rank-order and thus the fairness of subsequent selection decisions, depending on the kind of faking behavior. Instructed faking (faking-good) even affected weak measurement invariance, whereas applicants ' faking behavior did not. Consequently, correlations with personality scales -which can be utilized for predictive validity -may be readily interpreted for applicants. Faking behavior also introduced a uniform bias, implying that the classically observed mean raw score differences may not be readily interpreted.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["selection decisions", "response conditions", "response process", "responding", "response processes", "Response Conditions", "response behavior"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["indicated"], "Food": [], "HealthCareActivity": ["Psychometric Costs"], "InjuryOrPoisoning": [], "IntellectualProduct": ["personality scales", "college admission process"], "MedicalDevice": [], "Organization": ["University College of Teacher Education"], "PopulationGroup": ["respondents", "applicants", "Applicants"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["Retest Correlations", "Longitudinal means", "retest correlations"], "SpatialConcept": ["Styria"], "Virus": []}