{"id":"W7133060657","doi":"","title":"Interactive Machine Learning in Cybersecurity: Using Human Expertise More Effectively","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Training set; Process (computing); Set (abstract data type); Supervised learning; Training (meteorology); Classifier (UML); Data modeling; Data set","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01094942,0.001104295,0.0009085048,0.001762297,0.00124829,0.003755945,0.001763576,0.00239476,0.003325407],"category_scores_gemma":[0.02888807,0.0004689682,0.0006845666,0.001107094,0.003453368,0.006651104,0.004665087,0.003268308,0.0007525901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375796,"about_ca_system_score_gemma":0.001289872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002005325,"about_ca_topic_score_gemma":0.002517757,"domain_scores_codex":[0.992374,0.004623861,0.0002373531,0.001433868,0.0009114271,0.0004195691],"domain_scores_gemma":[0.9624695,0.02812197,0.002301679,0.00445343,0.001603828,0.001049521],"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":[0.0009264064,0.002498257,0.06177469,0.0009857906,0.0003927587,0.0006415797,0.0105536,0.2156754,0.02452144,0.02990193,0.004298185,0.6478299],"study_design_scores_gemma":[0.0001853066,0.001810384,0.0171991,0.0003847556,0.0001773519,0.0006382132,0.004486476,0.7839033,0.0219458,0.1515792,0.01751257,0.0001775303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4256039,0.001365688,0.5420237,0.007627665,0.0001383198,0.0003557487,0.0001029646,0.0009502405,0.02183187],"genre_scores_gemma":[0.9118934,0.0002260781,0.08598591,0.0004931087,0.0000832625,0.00008198328,0.00005163043,0.0000520053,0.001132572],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01094942,"threshold_uncertainty_score":0.05790675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615151918923373,"score_gpt":0.3738971808067768,"score_spread":0.337745661617543,"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."}}