{"id":"W2229065737","doi":"10.5555/2874916.2874943","title":"CAEDISI: a cellular automata editor and simulator for network decontamination","year":2015,"lang":"en","type":"article","venue":"","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Human decontamination; Automaton; Set (abstract data type); Usability; Cellular automaton; Software; Component (thermodynamics); Distributed computing; On the fly; The Internet; Node (physics); Theoretical computer science; Operating system; Programming language; Algorithm; Engineering","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":[0.0005385656,0.0009558889,0.0008057649,0.0006302807,0.0004094535,0.001144286,0.002237117,0.001241411,0.01113112],"category_scores_gemma":[0.002288109,0.000428459,0.0008696959,0.0003686146,0.0003984559,0.0008042986,0.0008939229,0.001441248,0.00207756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000486446,"about_ca_system_score_gemma":0.001089275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002566194,"about_ca_topic_score_gemma":0.002530874,"domain_scores_codex":[0.9996823,0.00007577423,0.00003370102,0.00006295921,0.0001144422,0.00003082738],"domain_scores_gemma":[0.9990509,0.0005450615,0.00005209549,0.000137082,0.0001532663,0.00006157098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004576854,0.0003099021,0.003954537,0.001008554,0.000177011,0.001073602,0.0005350614,0.7635391,0.02713325,0.05916673,0.03497275,0.1076719],"study_design_scores_gemma":[0.00006951016,0.00004452317,0.0001356744,0.00003191352,0.00003153753,0.0001515597,0.00001789785,0.9367257,0.00917873,0.005941628,0.04764953,0.00002176329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01018989,0.0002325402,0.9573414,0.000206234,0.0002376852,0.0002436236,0.001763346,0.02163827,0.008147048],"genre_scores_gemma":[0.22062,0.0008227175,0.7520768,0.0003020517,0.00009069077,0.001418475,0.004066859,0.003114429,0.01748811],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01113112,"threshold_uncertainty_score":0.03723729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855008626329309,"score_gpt":0.2497610083833645,"score_spread":0.2312109221200714,"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."}}