{"id":"W3043866079","doi":"10.1057/s41271-020-00231-4","title":"How refugee youth use social media: what does this mean for improving their health and welfare?","year":2020,"lang":"en","type":"review","venue":"Journal of Public Health Policy","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bruyère; University of Ottawa","funders":"","keywords":"Refugee; Social media; Social policy; Information and Communications Technology; Public relations; Inclusion (mineral); Political science; Welfare; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01261377,0.0005545049,0.003368859,0.00111791,0.002683867,0.001980209,0.0008710144,0.00077053,0.00001905315],"category_scores_gemma":[0.04701858,0.0004004534,0.0007024601,0.001569024,0.0004501567,0.002686574,0.000118405,0.001615705,0.000002002017],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00576827,"about_ca_system_score_gemma":0.06838744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007132576,"about_ca_topic_score_gemma":0.003803583,"domain_scores_codex":[0.9891446,0.004850238,0.002392127,0.0005331715,0.001202264,0.001877572],"domain_scores_gemma":[0.9815086,0.005977167,0.007419986,0.0002775642,0.0009543527,0.003862358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000383625,0.00003650486,0.000004346663,0.007994816,0.00005077556,7.016743e-7,0.2345644,9.301918e-10,2.910671e-9,0.007597189,0.001092778,0.7486547],"study_design_scores_gemma":[0.0002845507,0.0002131659,0.00001044264,0.00200276,0.00006700089,0.0000107318,0.1084481,2.782968e-7,8.340429e-9,0.0003329157,0.8883753,0.0002548312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002289582,0.5742646,0.00003854815,0.41679,0.006508858,0.002139068,0.0001820058,0.00004233639,0.0000117017],"genre_scores_gemma":[0.0002127832,0.9576904,0.0007159018,0.005388968,0.03554212,0.0002382581,0.00006955024,0.0001137719,0.00002823905],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8872825,"threshold_uncertainty_score":0.9998447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3921043161036544,"score_gpt":0.4929246544647181,"score_spread":0.1008203383610636,"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."}}