{"id":"W1992685726","doi":"10.1145/2076732.2076746","title":"The socialbot network","year":2011,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":442,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Misinformation; Malware; Internet privacy; Computer security; Botnet; World Wide Web; Infiltration (HVAC); The Internet","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":[0.001855258,0.001015576,0.0005919359,0.002525945,0.00231244,0.003794735,0.001602166,0.002001647,0.03776576],"category_scores_gemma":[0.007944771,0.0005806352,0.0007356363,0.001497763,0.001420935,0.005751891,0.004150288,0.001459055,0.01183687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419565,"about_ca_system_score_gemma":0.001859974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002965822,"about_ca_topic_score_gemma":0.002941791,"domain_scores_codex":[0.9975384,0.0007871177,0.0001491408,0.0005312209,0.0007340295,0.0002600692],"domain_scores_gemma":[0.9963177,0.001058594,0.0004479841,0.0009400471,0.0005179251,0.0007176928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003347789,0.0004148106,0.007216961,0.000828015,0.0001153272,0.0009206163,0.001383528,0.01046923,0.005253436,0.3998609,0.2893569,0.2838454],"study_design_scores_gemma":[0.00006979536,0.0001721888,0.002103568,0.0002145674,0.00004060619,0.0008312243,0.0004422924,0.04343722,0.001502938,0.09795503,0.8531551,0.0000754675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05788889,0.00449883,0.3857701,0.01381501,0.003219974,0.003482403,0.01748193,0.03800725,0.4758356],"genre_scores_gemma":[0.6294968,0.004002252,0.1440759,0.005195451,0.001340434,0.003227538,0.02557927,0.002770392,0.1843121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03776576,"threshold_uncertainty_score":0.1263391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322584514709548,"score_gpt":0.1980805148913592,"score_spread":0.1658220634204044,"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."}}