{"id":"W2542528723","doi":"10.1109/water.2013.6707879","title":"Sample creation not considered harmful","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Malware; Computer science; Sample (material); Computer security; Malware analysis; Commodity; Data science; Business","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":[0.00005650305,0.0000692742,0.00007023678,0.0000672837,0.00006440601,0.0001183344,0.0002479705,0.00003388803,0.0005259424],"category_scores_gemma":[0.0001509109,0.00006206034,0.00002521491,0.000153236,0.00002409453,0.0008492683,0.0001058502,0.00005353163,0.0003678951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002731578,"about_ca_system_score_gemma":0.0000164577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003733607,"about_ca_topic_score_gemma":0.000009321859,"domain_scores_codex":[0.9993957,0.0000194882,0.0001258879,0.0002086496,0.0001166139,0.000133721],"domain_scores_gemma":[0.999267,0.000141846,0.00004325768,0.0003586658,0.0001370363,0.00005212572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003053654,0.00004930889,0.0003808854,0.000008116337,0.00001095324,0.000002770039,0.0002176885,0.0000358485,0.04405495,0.4015984,0.02462189,0.5290162],"study_design_scores_gemma":[0.0001803446,0.00008351772,0.002993407,0.000004861512,0.00000147021,0.0000170755,0.00002346155,0.03144563,0.7589723,0.1814904,0.02456027,0.000227162],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001456486,0.000003859881,0.9884258,0.001656787,0.0000912741,0.0001965569,7.337264e-7,0.001339699,0.006828839],"genre_scores_gemma":[0.4581555,0.000002676291,0.5398309,0.001090721,0.00001513374,0.00005517193,8.178931e-7,0.000003891123,0.0008451128],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7149174,"threshold_uncertainty_score":0.5758701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730254285911962,"score_gpt":0.2604718939261166,"score_spread":0.243169351066997,"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."}}