{"id":"W2183070429","doi":"10.5072/zenodo.309676","title":"STRATEGIES FOR MONITORING FAKE AV DISTRIBUTION NETWORKS","year":2011,"lang":"no","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Leverage (statistics); Computer science; Property (philosophy); Distribution (mathematics); Computer network; Artificial intelligence; Mathematics","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":[0.003557355,0.001233305,0.001285824,0.002980823,0.0009775762,0.002045098,0.001707571,0.001378932,0.0008277927],"category_scores_gemma":[0.02820979,0.0006948658,0.0003884529,0.0015246,0.001047457,0.003788645,0.001057412,0.0009208421,0.0002834109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197791,"about_ca_system_score_gemma":0.0008282429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003150108,"about_ca_topic_score_gemma":0.003790836,"domain_scores_codex":[0.9963399,0.001661918,0.0001892629,0.0005331753,0.0009348349,0.000340891],"domain_scores_gemma":[0.9710882,0.01634002,0.004761148,0.004764641,0.00226805,0.0007779153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001477631,0.001349617,0.1543117,0.0005929569,0.0004760174,0.000592905,0.001193722,0.5289043,0.05999113,0.01112154,0.003517105,0.2364713],"study_design_scores_gemma":[0.00003528053,0.0002625834,0.008496691,0.00001292152,0.00005704226,0.0002045058,0.0001348022,0.9783146,0.008651493,0.003215686,0.0005876067,0.00002686173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918976,0.0006332566,0.0739181,0.0003142028,0.00001524835,0.0002430243,0.0003197407,0.00274636,0.002834043],"genre_scores_gemma":[0.969984,0.00007983207,0.02926737,0.00002517822,0.000008585236,0.00004886328,0.0002130204,0.00007250052,0.0003006969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003557355,"threshold_uncertainty_score":0.01881331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06101789576228221,"score_gpt":0.2579133890427207,"score_spread":0.1968954932804385,"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."}}