{"id":"W3108087226","doi":"10.20517/jsss.2020.08","title":"Resilience properties and metrics: how far have we gone?","year":2020,"lang":"en","type":"article","venue":"Journal of Surveillance Security and Safety","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Conseil Régional de Bretagne","keywords":"Resilience (materials science); Variety (cybernetics); Computer security; Field (mathematics); Computer science; Data science; Political science; Internet privacy; Engineering ethics; Engineering; Artificial intelligence","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":[0.01740826,0.001949929,0.0039303,0.004580812,0.001740192,0.01022307,0.003407807,0.005952736,0.00928922],"category_scores_gemma":[0.08287299,0.0008926977,0.001243309,0.005307068,0.01560627,0.05015098,0.004905322,0.01363556,0.002282016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003308503,"about_ca_system_score_gemma":0.003230824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004353145,"about_ca_topic_score_gemma":0.002797071,"domain_scores_codex":[0.9941751,0.002753402,0.0004152343,0.0009189167,0.001341894,0.0003953957],"domain_scores_gemma":[0.8970911,0.07892123,0.003888446,0.005412383,0.01146105,0.003225838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001667145,0.0001006448,0.003166412,0.00192879,0.0002359471,0.00009380945,0.0008463867,0.005341955,0.0002707346,0.6580654,0.04134051,0.2884426],"study_design_scores_gemma":[0.00001086041,0.00007242519,0.001165459,0.001621667,0.00004321544,0.00009928338,0.001083616,0.003985468,0.0001208203,0.952292,0.03942595,0.00007920024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01079886,0.6100607,0.08850736,0.2670541,0.006446708,0.00005849531,0.000581323,0.0003694346,0.01612305],"genre_scores_gemma":[0.3872771,0.4905261,0.05906888,0.02692205,0.02582469,0.0003279605,0.0009407861,0.0007097814,0.008402726],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01740826,"threshold_uncertainty_score":0.0920648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524760935146536,"score_gpt":0.214164242078995,"score_spread":0.1889166327275296,"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."}}