{"id":"W3028444949","doi":"10.1016/j.jadohealth.2020.03.006","title":"Social Media Use and Cyber-Bullying: A Cross-National Analysis of Young People in 42 Countries","year":2020,"lang":"en","type":"article","venue":"Journal of Adolescent Health","topic":"Bullying, Victimization, and Aggression","field":"Psychology","cited_by":359,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; McGill University; Queen's University","funders":"Folkhälsomyndigheten; Canadian Institutes of Health Research; Universitetet i Bergen; Ministero della Salute; University of Glasgow; Public Health Agency; Public Health Agency of Canada; World Health Organization","keywords":"Poisson regression; Cyber bullying; Poison control; Injury prevention; Suicide prevention; Psychology; Occupational safety and health; Confidence interval; Social media; Human factors and ergonomics; Demography; Aggression; Medicine; Social psychology; Environmental health; Population; The Internet; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006980218,0.0001080897,0.0005065792,0.0003794395,0.0001209719,0.00005028952,0.000109208,0.00009323958,0.0001564853],"category_scores_gemma":[0.0002514693,0.00009623306,0.0001159916,0.0006924532,0.00006776541,0.0001985849,0.00002547311,0.0002977752,0.000002015595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102968,"about_ca_system_score_gemma":0.000307401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001417222,"about_ca_topic_score_gemma":0.000648723,"domain_scores_codex":[0.9981059,0.0002004518,0.0008345279,0.0001550963,0.0004990975,0.0002048627],"domain_scores_gemma":[0.9981656,0.0001480957,0.001057168,0.00005636958,0.0003977985,0.0001749347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003564274,0.0001988412,0.9625349,0.00007475007,0.0001482175,0.000005718063,0.02987934,0.0003644445,0.00001605038,0.0006568671,0.005572347,0.0001920854],"study_design_scores_gemma":[0.001260248,0.00008009173,0.9960136,0.000117123,0.00008272104,0.00001329585,0.001060916,0.0005975649,0.000003892023,0.00003296243,0.0006630378,0.000074568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920968,0.0006280913,0.000835435,0.005885951,0.0003561373,0.00009516077,0.0000473949,0.000007779017,0.00004721034],"genre_scores_gemma":[0.9976148,0.0005387918,0.0002082624,0.001195584,0.0004027823,6.86732e-7,0.00001538272,0.00001100169,0.00001272546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03347867,"threshold_uncertainty_score":0.392427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05622966193075476,"score_gpt":0.366845639455809,"score_spread":0.3106159775250543,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}