date: 2023-04-17T12:24:26Z pdf:PDFVersion: 1.5 pdf:docinfo:title: Patterns of risk?Using machine learning and structural neuroimaging to identify pedophilic offenders xmp:CreatorTool: LaTeX with hyperref package access_permission:can_print_degraded: true subject: Popovic D, Wertz M, Geisler C, Kaufmann J, Lähteenvuo M, Lieslehto J, Witzel J, Bogerts B, Walter M, Falkai P, Koutsouleris N and Schiltz K (2023) Patterns of risk?Using machine learning and structural neuroimaging to identify pedophilic offenders. Front. Psychiatry 14:1001085. doi: 10.3389/fpsyt.2023.1001085 dc:format: application/pdf; version=1.5 pdf:docinfo:creator_tool: LaTeX with hyperref package access_permission:fill_in_form: true pdf:encrypted: false dc:title: Patterns of risk?Using machine learning and structural neuroimaging to identify pedophilic offenders modified: 2023-04-17T12:24:26Z cp:subject: Popovic D, Wertz M, Geisler C, Kaufmann J, Lähteenvuo M, Lieslehto J, Witzel J, Bogerts B, Walter M, Falkai P, Koutsouleris N and Schiltz K (2023) Patterns of risk?Using machine learning and structural neuroimaging to identify pedophilic offenders. Front. Psychiatry 14:1001085. doi: 10.3389/fpsyt.2023.1001085 pdf:docinfo:subject: Popovic D, Wertz M, Geisler C, Kaufmann J, Lähteenvuo M, Lieslehto J, Witzel J, Bogerts B, Walter M, Falkai P, Koutsouleris N and Schiltz K (2023) Patterns of risk?Using machine learning and structural neuroimaging to identify pedophilic offenders. Front. Psychiatry 14:1001085. doi: 10.3389/fpsyt.2023.1001085 pdf:docinfo:creator: David Popovic meta:author: Maximilian Wertz meta:creation-date: 2023-04-17T12:13:57Z created: 2023-04-17T12:13:57Z access_permission:extract_for_accessibility: true Creation-Date: 2023-04-17T12:13:57Z Author: Maximilian Wertz producer: pdfTeX-1.40.16 pdf:docinfo:producer: pdfTeX-1.40.16 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Popovic D, Wertz M, Geisler C, Kaufmann J, Lähteenvuo M, Lieslehto J, Witzel J, Bogerts B, Walter M, Falkai P, Koutsouleris N and Schiltz K (2023) Patterns of risk?Using machine learning and structural neuroimaging to identify pedophilic offenders. Front. Psychiatry 14:1001085. doi: 10.3389/fpsyt.2023.1001085 Keywords: pedophilia, MRI, child sexual abuse (CSA), support vector machines, machine learning, forensic psychiatry access_permission:modify_annotations: true PDFVersion: 1.5 dc:creator: Maximilian Wertz description: Popovic D, Wertz M, Geisler C, Kaufmann J, Lähteenvuo M, Lieslehto J, Witzel J, Bogerts B, Walter M, Falkai P, Koutsouleris N and Schiltz K (2023) Patterns of risk?Using machine learning and structural neuroimaging to identify pedophilic offenders. Front. Psychiatry 14:1001085. doi: 10.3389/fpsyt.2023.1001085 dcterms:created: 2023-04-17T12:13:57Z Last-Modified: 2023-04-17T12:24:26Z dcterms:modified: 2023-04-17T12:24:26Z title: Patterns of risk?Using machine learning and structural neuroimaging to identify pedophilic offenders xmpMM:DocumentID: uuid:90546c90-005f-4205-9b13-ef759bb182b1 Last-Save-Date: 2023-04-17T12:24:26Z pdf:docinfo:keywords: pedophilia, MRI, child sexual abuse (CSA), support vector machines, machine learning, forensic psychiatry pdf:docinfo:modified: 2023-04-17T12:24:26Z meta:save-date: 2023-04-17T12:24:26Z pdf:docinfo:custom:PDFVersion: 1.5 Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Maximilian Wertz dc:subject: pedophilia, MRI, child sexual abuse (CSA), support vector machines, machine learning, forensic psychiatry access_permission:assemble_document: true xmpTPg:NPages: 13 pdf:charsPerPage: 4309 access_permission:extract_content: true access_permission:can_print: true meta:keyword: pedophilia, MRI, child sexual abuse (CSA), support vector machines, machine learning, forensic psychiatry access_permission:can_modify: true pdf:docinfo:created: 2023-04-17T12:13:57Z