Supplemental Material for Uncovering the Most Robust Predictors of Problematic Pornography Use: A Large-Scale Machine Learning Study Across 16 Countries
{"title":"Supplemental Material for Uncovering the Most Robust Predictors of Problematic Pornography Use: A Large-Scale Machine Learning Study Across 16 Countries","authors":"","doi":"10.1037/abn0000913.supp","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of psychopathology and clinical science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1037/abn0000913.supp","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}