{"id":"W4313139403","doi":"10.1609/aiide.v8i3.12551","title":"Organizers","year":2012,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Adversarial system; Artificial intelligence","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":[0.000135476,0.0001901694,0.000170821,0.0001029981,0.0001028933,0.0002823479,0.0006916227,0.00004453367,0.00003114517],"category_scores_gemma":[0.0002142127,0.0001373126,0.00007939523,0.0002482895,0.0001523533,0.002169019,0.0004790213,0.0001967332,0.0000402894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008424211,"about_ca_system_score_gemma":0.00001550208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004896589,"about_ca_topic_score_gemma":3.771475e-7,"domain_scores_codex":[0.9987968,0.000007090911,0.0003257624,0.0002901955,0.0002861376,0.0002939716],"domain_scores_gemma":[0.9991416,0.00006346056,0.0002486937,0.0001727257,0.0002676414,0.0001058732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008766357,0.0003830755,0.001132451,0.00002104368,0.00003486644,2.615267e-7,0.002838861,0.000001965708,0.03123215,0.702465,0.0001476458,0.261655],"study_design_scores_gemma":[0.00002283911,0.0003013351,0.0002502867,0.0001241047,0.000005253492,0.00001287607,0.001709666,0.001302021,0.9529355,0.04237504,0.0007719186,0.000189124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5255073,0.0000577615,0.411232,0.004069151,0.001271716,0.001137233,0.00001844829,0.0004066763,0.05629972],"genre_scores_gemma":[0.9983844,0.00002215795,0.001025284,0.0002605007,0.00003843119,0.00002752564,3.673019e-7,0.000009804164,0.0002315149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9217034,"threshold_uncertainty_score":0.5599444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03558820128010596,"score_gpt":0.2808312531845274,"score_spread":0.2452430519044214,"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."}}