{"id":"W2106777352","doi":"10.1109/ares.2008.57","title":"A Behavioral Model of Ideologically-motivated “Snowball” Attacks","year":2008,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"Computer security; Pace; Ideology; Computer science; Cyber threats; The Internet; Set (abstract data type); Internet privacy; Context (archaeology); Conceptual model; Risk analysis (engineering); Business; Politics; Political science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00152904,0.0006238201,0.0002978315,0.001068385,0.0009797249,0.002476567,0.001101376,0.002348465,0.007674571],"category_scores_gemma":[0.003398798,0.0003034218,0.0005899267,0.0006698996,0.00322941,0.003777845,0.001118629,0.001592333,0.0006695703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021,"about_ca_system_score_gemma":0.001931208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006024961,"about_ca_topic_score_gemma":0.004282855,"domain_scores_codex":[0.9989125,0.0005740679,0.00004186599,0.0001544378,0.0001711626,0.0001460051],"domain_scores_gemma":[0.9976833,0.0009730037,0.0006471596,0.0002247786,0.0002538673,0.0002178496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004399231,0.0001996535,0.007334553,0.00003743334,0.00002162246,0.0003303395,0.00385454,0.02248178,0.001025036,0.957993,0.001341942,0.005336117],"study_design_scores_gemma":[0.00008603751,0.000306436,0.009778055,0.0001110131,0.00004811882,0.000852713,0.005116019,0.4483425,0.0006665747,0.5110717,0.0235477,0.00007317733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3437904,0.0001950286,0.3789174,0.007772684,0.0001045643,0.0006786634,0.0004543113,0.0002806752,0.2678063],"genre_scores_gemma":[0.9640183,0.000161591,0.02524244,0.0003868104,0.00002096715,0.000258083,0.0001148102,0.00002709948,0.00976989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007674571,"threshold_uncertainty_score":0.02567399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1004026471374052,"score_gpt":0.302379907921317,"score_spread":0.2019772607839118,"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."}}