{"id":"W7161802322","doi":"10.82308/3357","title":"Combating online misinformation by detecting organized groups on social media","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confusion; Misinformation; Social relationship; Social media","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":[0.00138994,0.0018705,0.001255922,0.006204281,0.001409731,0.002852925,0.001534739,0.001706075,0.002526931],"category_scores_gemma":[0.007378907,0.0005369356,0.0009771559,0.003308783,0.0007685251,0.003138117,0.002384525,0.001342194,0.002419376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055526,"about_ca_system_score_gemma":0.001846055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305891,"about_ca_topic_score_gemma":0.02802231,"domain_scores_codex":[0.998158,0.000299847,0.0001091274,0.0003891459,0.0007478085,0.0002959975],"domain_scores_gemma":[0.9965464,0.001220901,0.0005091307,0.0004721646,0.001025646,0.0002255875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001481238,0.0004547911,0.06301379,0.001068124,0.0005015399,0.0006674154,0.003641041,0.03415337,0.02715649,0.009375528,0.02173894,0.8367478],"study_design_scores_gemma":[0.0001113376,0.0006022221,0.03782807,0.0002784295,0.0004148042,0.001087851,0.008246467,0.8248852,0.05499791,0.023527,0.04783061,0.0001901451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4398581,0.004082855,0.519941,0.002688057,0.0007067575,0.001074756,0.004223594,0.01035833,0.01706651],"genre_scores_gemma":[0.7000522,0.001100211,0.2756216,0.0003321659,0.0002734009,0.0003292709,0.003817103,0.0004120623,0.01806197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01305891,"threshold_uncertainty_score":0.02596575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03507469002789241,"score_gpt":0.3370927876969582,"score_spread":0.3020180976690657,"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."}}