{"id":"W4392892954","doi":"10.1007/978-981-99-8324-7_27","title":"Application Identification Using Pairwise Classification","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Pairwise comparison; Identification (biology); Pattern recognition (psychology); Artificial intelligence; Computer science; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.001303463,0.001146766,0.00117163,0.00427868,0.001284968,0.002180324,0.001481731,0.00115316,0.007275268],"category_scores_gemma":[0.004772703,0.0003921083,0.001261925,0.002929764,0.0004840098,0.002579817,0.002392786,0.001333538,0.006891201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006077868,"about_ca_system_score_gemma":0.001080586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524589,"about_ca_topic_score_gemma":0.002664685,"domain_scores_codex":[0.997669,0.000425462,0.0001389214,0.0006433469,0.0008516884,0.0002715315],"domain_scores_gemma":[0.9973623,0.000546109,0.0002129567,0.0008557821,0.0009053489,0.0001175126],"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":[0.0003514765,0.0004128605,0.01207968,0.0001738691,0.0001438086,0.0002316649,0.0001235335,0.01665745,0.02738251,0.01413333,0.01525905,0.9130508],"study_design_scores_gemma":[0.00001406512,0.0001727907,0.005687355,0.00003778567,0.00007873122,0.0006833302,0.0001630629,0.9214118,0.02700171,0.03134073,0.01336073,0.00004804195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04965321,0.0004878893,0.9215689,0.0002495569,0.0002243184,0.0004592771,0.0009358762,0.005993378,0.02042753],"genre_scores_gemma":[0.547503,0.0003777276,0.4253426,0.0001978645,0.0001599662,0.0004105307,0.004035294,0.0005351458,0.02143779],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007275268,"threshold_uncertainty_score":0.02433813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254179324535515,"score_gpt":0.2456213592277648,"score_spread":0.2230795659824097,"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."}}