{"id":"W2579810741","doi":"10.21700/ijcis.2016.128","title":"Virus Recognition Based on Combination of Hashing and Neural Networks","year":2016,"lang":"en","type":"article","venue":"International Journal of Computing and Information Sciences","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Computer science; Artificial intelligence; Hash function; Pattern recognition (psychology); Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006481737,0.000484598,0.001132995,0.001548536,0.000434116,0.000677223,0.0008120443,0.0005884983,0.00134801],"category_scores_gemma":[0.001472763,0.0002666092,0.0005955725,0.001173263,0.0003195927,0.001591139,0.0007767362,0.0004986592,0.0007175835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004219247,"about_ca_system_score_gemma":0.0005475268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001620635,"about_ca_topic_score_gemma":0.002068273,"domain_scores_codex":[0.9992841,0.0001236587,0.00004854688,0.0001614265,0.0002917245,0.00009052632],"domain_scores_gemma":[0.9991331,0.0002577047,0.0001008448,0.0001266463,0.0003279916,0.0000536658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005932333,0.0003406575,0.008733023,0.0002670846,0.0002750831,0.0001696728,0.00008821824,0.04437111,0.08114924,0.004542632,0.004139878,0.8553302],"study_design_scores_gemma":[0.00002528834,0.0002172695,0.003665966,0.00001433281,0.00006850511,0.0004327053,0.00004679516,0.9669619,0.02365601,0.003492334,0.001373721,0.00004522137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1810446,0.002007059,0.8098044,0.0002493322,0.0005133614,0.0002632247,0.000375278,0.001702856,0.004039855],"genre_scores_gemma":[0.7699446,0.0005885625,0.2253457,0.000132508,0.0001565593,0.0001066434,0.0005251243,0.00004041161,0.003159823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001620635,"threshold_uncertainty_score":0.004509568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195956536982333,"score_gpt":0.2763916870543374,"score_spread":0.2567960333561041,"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."}}