{"id":"W2901879074","doi":"10.5539/mas.v12n12p163","title":"On Maximizing Reliability of Network Topology Design Using a Practical Dynamic Programming Approach","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Network topology; Reliability (semiconductor); Benchmark (surveying); Sorting; Mathematical optimization; Constraint (computer-aided design); Dynamic programming; Set (abstract data type); Topology (electrical circuits); Reliability engineering; Algorithm; Mathematics; Computer network; Power (physics); Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001749429,0.001493951,0.001203154,0.001291062,0.0005524078,0.001163543,0.001075886,0.001096385,0.002100448],"category_scores_gemma":[0.004790952,0.0007674076,0.0008683926,0.001437873,0.001054294,0.001622582,0.00105336,0.001166619,0.0003250154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493686,"about_ca_system_score_gemma":0.001601307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003407713,"about_ca_topic_score_gemma":0.003365675,"domain_scores_codex":[0.9990841,0.0004288369,0.00003133729,0.0001562245,0.0002076378,0.00009185244],"domain_scores_gemma":[0.9978181,0.001705298,0.0001514857,0.00007579598,0.0001985405,0.00005074744],"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":[0.00001422235,0.00001889728,0.0001097781,0.0000684991,0.00001228788,0.00002491616,0.00002652089,0.9690567,0.0005306934,0.01066796,0.0004258549,0.01904368],"study_design_scores_gemma":[0.000006825156,0.0000221724,0.00003156119,0.000009660822,0.000005194484,0.00001841562,0.00001162141,0.991399,0.0003272704,0.007447837,0.0007168491,0.000003580629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005491353,0.000277956,0.9909155,0.0002198693,0.00001847227,0.00005278147,0.00003122916,0.00009222878,0.002900666],"genre_scores_gemma":[0.3114195,0.001504678,0.6821461,0.0002122524,0.0001194342,0.0004628557,0.0001719533,0.0001823899,0.0037808],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003407713,"threshold_uncertainty_score":0.01083755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04965638370823534,"score_gpt":0.3067830348818581,"score_spread":0.2571266511736228,"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."}}