{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008475012,0.0007737449,0.0008119157,0.001214021,0.0008057312,0.000611352,0.0008270108,0.0005875143,0.00006914364],"category_scores_gemma":[0.0005396272,0.0009144241,0.0002947179,0.002024864,0.00008437131,0.0009117473,0.0003322108,0.002493791,0.0001476927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019446,"about_ca_system_score_gemma":0.0002065745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04437763,"about_ca_topic_score_gemma":0.008668421,"domain_scores_codex":[0.9955531,0.0007875786,0.0006433278,0.001513618,0.0007196697,0.0007826411],"domain_scores_gemma":[0.9977998,0.0004409256,0.0007446401,0.0005810472,0.0002374585,0.0001961448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005043334,0.0003500621,0.006052834,0.0004906025,0.000257042,0.0005599564,0.864598,0.009916902,0.07029635,0.0002372178,0.0000679868,0.04666871],"study_design_scores_gemma":[0.001856835,0.00077052,0.06725462,0.003550013,0.0001327478,0.00005405869,0.03532486,0.8660752,0.02238394,0.0004936631,0.0002731631,0.00183042],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872429,0.0006009582,0.006323516,0.0001533431,0.003685071,0.0007697811,0.000002893097,0.0004846295,0.0007368654],"genre_scores_gemma":[0.9948776,0.00007298683,0.000482408,0.00005040309,0.0003068748,0.00007868883,0.000121722,0.0001373817,0.003871947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8561583,"threshold_uncertainty_score":0.9998075,"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."}}