{"id":"W6958288637","doi":"10.6084/m9.figshare.20277855","title":"The Reach of Russian Propaganda & Disinformation in Canada","year":2022,"lang":"en","type":"preprint","venue":"Figshare","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disinformation; Politics; Social media; Public opinion; Consumption (sociology); General Social Survey","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007471798,0.0001741744,0.0002984432,0.002710362,0.006677959,0.002947037,0.0007355111,0.0004885321,0.004285973],"category_scores_gemma":[0.004737965,0.0002096779,0.0002154542,0.004758839,0.001805556,0.0008320244,0.002013517,0.000906589,0.0002713509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04297212,"about_ca_system_score_gemma":0.06611431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969432,"about_ca_topic_score_gemma":0.9983031,"domain_scores_codex":[0.9986717,0.0001180026,0.00002920692,0.0001468484,0.0004801355,0.0005542408],"domain_scores_gemma":[0.9957405,0.0005920852,0.0006878738,0.00009278754,0.002180732,0.00070592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004695675,0.00009934429,0.7897482,0.0003214286,0.00008519275,0.0007854146,0.1225525,0.000603881,0.001417919,0.01077763,0.01138294,0.06175598],"study_design_scores_gemma":[0.00001677874,0.00004186642,0.8487114,0.0002050145,0.00003760807,0.0001500941,0.1081908,0.0003688729,0.000597965,0.0003627739,0.04124768,0.00006911954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619736,0.001008924,0.0001124652,0.002051744,0.00002377834,0.00003019816,0.001984664,0.0000116457,0.03280297],"genre_scores_gemma":[0.9942326,0.0005897239,0.00007808539,0.0001549682,0.000004309322,0.000007987719,0.0003576437,0.000007278828,0.004567504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04297212,"threshold_uncertainty_score":0.311786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06433594958930187,"score_gpt":0.3152704097414795,"score_spread":0.2509344601521776,"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."}}