{"id":"W3209170404","doi":"10.1177/19401612211045221","title":"Is pro-Kremlin Disinformation Effective? Evidence from Ukraine","year":2021,"lang":"en","type":"article","venue":"The International Journal of Press/Politics","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Social Innovation","funders":"","keywords":"Disinformation; Political science; Politics; Face (sociological concept); Government (linguistics); Internet privacy; Sociology; Law; Computer science; Social media; Social science; Linguistics; Philosophy","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":[0.008767929,0.0002803986,0.0005559474,0.0013138,0.002032386,0.002688778,0.0006881187,0.0008376657,0.003930707],"category_scores_gemma":[0.03340911,0.0003142989,0.000407198,0.00181612,0.002456566,0.002463052,0.002978878,0.001588458,0.0005045968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168467,"about_ca_system_score_gemma":0.002317216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05166185,"about_ca_topic_score_gemma":0.04698693,"domain_scores_codex":[0.993807,0.003760991,0.0004679422,0.0005427308,0.0007247558,0.0006965061],"domain_scores_gemma":[0.9503739,0.03082734,0.01010319,0.002517303,0.005097787,0.001080448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007948541,0.0004148139,0.7652904,0.001095188,0.0003347234,0.00137798,0.1894161,0.0001754475,0.0004255858,0.003427562,0.001971079,0.03527615],"study_design_scores_gemma":[0.0000282351,0.000207425,0.8147675,0.0009893738,0.000254958,0.0004708971,0.1695522,0.0003254271,0.0007818124,0.0006232911,0.01196431,0.00003446798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905187,0.001109431,0.0001160823,0.001047677,0.00001202845,0.00001603569,0.0001730108,0.000002038175,0.007005001],"genre_scores_gemma":[0.9985802,0.0006793651,0.00004373487,0.0002280355,0.000008256982,0.00000580388,0.0001017218,0.000003215108,0.0003497011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05166185,"threshold_uncertainty_score":0.1027223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06264600071717624,"score_gpt":0.3835266624989015,"score_spread":0.3208806617817253,"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."}}