{"id":"W2743411104","doi":"10.1145/3098954.3098992","title":"SONAR","year":2017,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Malware; Sonar; Categorization; Computer security; Taxonomy (biology); Set (abstract data type); Data science; Honeypot; Security domain; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001012412,0.00172404,0.001093094,0.001847262,0.0007973755,0.003159843,0.001829352,0.001985963,0.1260618],"category_scores_gemma":[0.003510169,0.0007938875,0.0008006487,0.00167006,0.0004720168,0.003466242,0.002611378,0.001491715,0.167293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005618655,"about_ca_system_score_gemma":0.0009593062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002921459,"about_ca_topic_score_gemma":0.005374163,"domain_scores_codex":[0.9985744,0.0001567099,0.00009448262,0.0004896977,0.00053247,0.0001522359],"domain_scores_gemma":[0.9987121,0.0002173697,0.0001023215,0.0003147771,0.0005209878,0.0001325843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006944709,0.000091373,0.004065707,0.0007629467,0.0001069077,0.0003880718,0.0003158702,0.002797453,0.01438035,0.006019388,0.5191751,0.4512024],"study_design_scores_gemma":[0.00009497165,0.0001713162,0.002817167,0.0001494091,0.00005452344,0.0007357281,0.0002382556,0.02456437,0.0117352,0.006278788,0.9530447,0.0001156375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0165466,0.006735049,0.3818901,0.003158712,0.006171831,0.001095968,0.06906922,0.2252341,0.2900984],"genre_scores_gemma":[0.1763824,0.005176274,0.3383586,0.005201637,0.00229172,0.001239575,0.1659322,0.02278361,0.282634],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8739382,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361778291692639,"score_gpt":0.2574004051689435,"score_spread":0.2337826222520171,"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."}}