{"id":"W4389629098","doi":"10.1109/icspis60075.2023.10343932","title":"ICSPIS 2023 Keynote Speakers","year":2023,"lang":"en","type":"article","venue":"","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Malware; Process (computing); Session (web analytics); Publishing; Reverse engineering; Code (set theory); Software; Computer security; Malware analysis; clone (Java method); Static analysis; Data science; World Wide Web; Software engineering; Programming language; Set (abstract data type)","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":[0.00224134,0.001434499,0.0007445656,0.001293438,0.001791711,0.005551978,0.001011641,0.002691513,0.406176],"category_scores_gemma":[0.003049726,0.0003021623,0.0008384151,0.0008926776,0.0004560741,0.002348472,0.002297869,0.003499745,0.2514445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689836,"about_ca_system_score_gemma":0.001866687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001607975,"about_ca_topic_score_gemma":0.0034652,"domain_scores_codex":[0.9989756,0.0001147686,0.00003964206,0.0002303821,0.0004481412,0.0001915025],"domain_scores_gemma":[0.997876,0.0002086602,0.00005424467,0.0001135828,0.0009396297,0.0008078055],"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":[0.00006073841,0.00003089242,0.0001144171,0.00005720916,0.000004702637,0.00009840518,0.00002361889,0.0001107048,0.0005164803,0.004163413,0.9559779,0.03884164],"study_design_scores_gemma":[0.00001195285,0.00003249491,0.0002355733,0.00005783658,0.000005018677,0.00006833793,0.00006773463,0.0004087764,0.0003420603,0.001845435,0.9969175,0.000007313212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00284215,0.007142739,0.01104819,0.06604859,0.2089879,0.000480257,0.004099022,0.002613822,0.6967374],"genre_scores_gemma":[0.009947028,0.002268914,0.002303542,0.003594296,0.01593768,0.0001923588,0.001917029,0.0006062029,0.9632329],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.406176,"threshold_uncertainty_score":0.8470179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0438187125379987,"score_gpt":0.2927416898326987,"score_spread":0.2489229772946999,"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."}}