{"id":"W2995882014","doi":"10.3386/w26567","title":"Social Media and Xenophobia: Evidence from Russia","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Xenophobia; Social media; Political science; Criminology; Sociology; Law; Immigration","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00113964,0.0002081566,0.0003936121,0.0007654899,0.0007232195,0.001252237,0.0003292139,0.0003977553,0.00382872],"category_scores_gemma":[0.005173113,0.0002150827,0.0004823364,0.001091541,0.001094301,0.0005641349,0.00140506,0.0006479893,0.0004453791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004314836,"about_ca_system_score_gemma":0.0003192453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02291932,"about_ca_topic_score_gemma":0.01641615,"domain_scores_codex":[0.998791,0.0006846032,0.00005650735,0.0001559206,0.0001377532,0.0001741819],"domain_scores_gemma":[0.991024,0.003845298,0.003613416,0.0006896706,0.0003455848,0.0004820567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004096027,0.0002988166,0.9836781,0.0001001152,0.0003220926,0.0002616091,0.002814089,0.0003053595,0.0005869847,0.001623432,0.0005459338,0.00905389],"study_design_scores_gemma":[0.00001820395,0.00008164695,0.9960121,0.00003554788,0.0001089585,0.00006512636,0.001838085,0.0003358019,0.0002474653,0.0002048867,0.001046495,0.00000570923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951715,0.0003386849,0.0001659412,0.0002531484,0.000007824397,0.000007073811,0.0002460053,0.000003369354,0.003806443],"genre_scores_gemma":[0.9991801,0.0003030932,0.00003906074,0.00004307735,0.00001151802,0.000004005198,0.0001273831,0.000002612119,0.0002890299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02291932,"threshold_uncertainty_score":0.04557186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6167934398343892,"score_gpt":0.5988314603551946,"score_spread":0.01796197947919453,"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."}}