{"id":"W3008084469","doi":"10.1002/net.21934","title":"Dual‐failure restorability analysis of span‐restorable meta‐mesh networks","year":2020,"lang":"en","type":"article","venue":"Networks","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Spare part; Span (engineering); Traverse; Maximization; Dual (grammatical number); Mesh networking; Mathematical optimization; Mathematics; Structural engineering; Operations management; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000243186,0.0003838463,0.001184747,0.0001422953,0.00006955818,0.00003140154,0.0004361431,0.0004549336,0.0002600222],"category_scores_gemma":[0.0001604702,0.0003595678,0.0005178713,0.003324276,0.0002148204,0.0001897991,0.0001779791,0.0008389491,0.000009079841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007529232,"about_ca_system_score_gemma":0.00001094779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009558461,"about_ca_topic_score_gemma":0.00009979317,"domain_scores_codex":[0.9978946,0.0000631291,0.0006192846,0.0004950198,0.0002752868,0.0006526563],"domain_scores_gemma":[0.998405,0.000353768,0.0001143966,0.000807076,0.00009617532,0.0002235369],"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":[0.00002200741,0.00001917238,0.001964713,0.00002771254,0.003551974,0.00001270481,0.00002987929,0.9838535,0.00002933491,0.001394701,0.00666451,0.00242982],"study_design_scores_gemma":[0.0001552068,0.00006195124,0.001382694,0.0000102605,0.00365678,8.247469e-7,0.00003917634,0.9884387,0.00004353818,0.0002553315,0.005622708,0.0003328039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03497687,0.008408646,0.9506274,0.0008114714,0.0004085468,0.0004542802,0.00002301166,0.002781752,0.001508051],"genre_scores_gemma":[0.9785459,0.0005415243,0.0202729,0.0001661775,0.0002957398,0.00004538573,0.00004219743,0.00006683437,0.00002332616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9435691,"threshold_uncertainty_score":0.9998856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225329069802534,"score_gpt":0.2277012994942235,"score_spread":0.2051683925139701,"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."}}