{"id":"W1740504981","doi":"","title":"Collusion threat profile analysis: Review and analysis of MERIT model","year":2012,"lang":"en","type":"article","venue":"World Congress on Internet Security","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Collusion; Insider threat; Insider; Computer science; Figure of merit; Computer security; Risk analysis (engineering); Business; Political science; Law; Industrial organization","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004090347,0.0001956908,0.0007522954,0.0005236224,0.00006630974,0.00003851217,0.0004644328,0.00003239168,0.0002584291],"category_scores_gemma":[0.00002179838,0.0001584808,0.000280103,0.002118771,0.00008301272,0.0003229406,0.0005190375,0.0001181999,0.00001046148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003441997,"about_ca_system_score_gemma":0.00001078291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003153941,"about_ca_topic_score_gemma":0.000936602,"domain_scores_codex":[0.9985697,0.00007846504,0.0004113884,0.0003532259,0.0003107357,0.0002764674],"domain_scores_gemma":[0.9989023,0.00007716096,0.0001993713,0.0005946268,0.00011479,0.0001117454],"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":[0.0000981656,0.001108999,0.1655961,0.001202236,0.02682279,0.000007984228,0.007254579,0.0007291006,0.00007423756,0.7378458,0.05066394,0.008596034],"study_design_scores_gemma":[0.0007725981,0.0002046282,0.0379153,0.0008775861,0.02808664,0.000002165965,0.00006581055,0.9026729,0.004098797,0.001083103,0.02314751,0.001072914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5225044,0.1642099,0.09098067,0.00559807,0.002379978,0.004071302,0.0005432782,0.0008826265,0.2088297],"genre_scores_gemma":[0.9935099,0.001520265,0.000478247,0.0008235114,0.00001453811,0.00003020931,0.00002383791,0.000005065554,0.003594366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9019439,"threshold_uncertainty_score":0.6462661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133865222262501,"score_gpt":0.2924483756125951,"score_spread":0.2711097233899701,"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."}}