{"id":"W2050465733","doi":"10.5220/0005016500130020","title":"AVP - An Android Virtual Playground","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thales (Canada); Cegep de Sainte Foy","funders":"","keywords":"Android (operating system); Computer science; Visualization; Android application; Operating system; Human–computer interaction; Embedded 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006688869,0.001512974,0.000848261,0.001284876,0.0004058714,0.001051152,0.002374536,0.001016929,0.02242114],"category_scores_gemma":[0.002441534,0.0005787387,0.0005361328,0.0003122929,0.0005743412,0.001619551,0.002129037,0.0009048071,0.006312483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427026,"about_ca_system_score_gemma":0.0004815513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123392,"about_ca_topic_score_gemma":0.0009657121,"domain_scores_codex":[0.9991639,0.0001599109,0.00006415122,0.0001446602,0.0003086341,0.0001587369],"domain_scores_gemma":[0.99874,0.0005906966,0.00005977687,0.0002149847,0.000179938,0.0002146879],"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":[0.009893277,0.001835064,0.007892692,0.004229464,0.0003524658,0.005638941,0.002836731,0.007123108,0.2856003,0.01922478,0.1257082,0.5296649],"study_design_scores_gemma":[0.002464646,0.008234072,0.03032609,0.0009390197,0.0005643973,0.009656014,0.001060479,0.1118424,0.2680328,0.01328588,0.5526595,0.0009345626],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1707429,0.002526834,0.5684934,0.000814986,0.00146747,0.006784503,0.009901367,0.1753528,0.06391583],"genre_scores_gemma":[0.683223,0.00128807,0.2459315,0.001219379,0.000335506,0.007037259,0.009654224,0.008948509,0.0423626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02242114,"threshold_uncertainty_score":0.07500625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007503606391378672,"score_gpt":0.2410364688440413,"score_spread":0.2335328624526626,"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."}}