{"id":"W7164097771","doi":"","title":"Aplicació de tècniques d&apos;aprenentatge profund en un sistema de detecció d&apos;intrusions amb trànsit de xarxa relacionat amb la Dark Web","year":2022,"lang":"es","type":"dissertation","venue":"RiuNet (Universitat Politècnica de València)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power consumption; Internet of Things","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.003360059,0.001450501,0.001461818,0.001636689,0.003104439,0.0008536922,0.004084447,0.001927039,0.001157886],"category_scores_gemma":[0.0004989263,0.001870868,0.001306827,0.002690097,0.000429702,0.001565446,0.001857694,0.003497089,0.0002104554],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004920647,"about_ca_system_score_gemma":0.003785122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003556168,"about_ca_topic_score_gemma":0.002070354,"domain_scores_codex":[0.9871393,0.004701703,0.00126742,0.0024159,0.001604004,0.002871609],"domain_scores_gemma":[0.9925578,0.001940011,0.001320706,0.002136178,0.0005031223,0.001542237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005603496,0.004474099,0.007860367,0.003787415,0.004327409,0.004923831,0.1832373,0.006562283,0.1248249,0.5291849,0.05951058,0.06570336],"study_design_scores_gemma":[0.009964631,0.005976528,0.07531103,0.003918797,0.005294614,0.004544961,0.04804553,0.2279718,0.02210216,0.08305919,0.5030338,0.01077695],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637743,0.001858126,0.01194006,0.003661146,0.001494821,0.001879047,0.000518358,0.001276446,0.01359769],"genre_scores_gemma":[0.966368,0.005747078,0.01729984,0.001615209,0.0007317475,0.0002082932,0.0008725955,0.0002712499,0.00688602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4461257,"threshold_uncertainty_score":0.9998245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868100813538578,"score_gpt":0.2959469924929511,"score_spread":0.2772659843575654,"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."}}