{"id":"W4237834376","doi":"10.32920/ryerson.14648535","title":"Survivability in ATM networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Survivability; Spare part; Computer science; Network planning and design; Computer network; Event (particle physics); Path (computing); Reliability engineering; Service (business); Engineering; Operations management; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001325553,0.0002508016,0.0003979084,0.00005216138,0.000009378908,0.00004043613,0.0003163487,0.0006528554,0.0001172225],"category_scores_gemma":[0.0001015491,0.0002582492,0.00008220984,0.0002347786,0.00006178375,0.00004738623,0.0008287791,0.001442664,0.000006761024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854476,"about_ca_system_score_gemma":0.00001335392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002635948,"about_ca_topic_score_gemma":0.0005839632,"domain_scores_codex":[0.9988474,0.00002154732,0.0003104315,0.0003671578,0.00009356943,0.0003599462],"domain_scores_gemma":[0.9990073,0.0001431413,0.00001630054,0.0007670263,0.00002708601,0.00003910756],"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":[9.808143e-7,0.00001186814,0.002698117,0.00007341942,0.00001375887,0.00001941109,0.000008460025,0.9833879,0.000004698336,0.000565782,0.0001120826,0.01310356],"study_design_scores_gemma":[0.00008463096,0.00000439615,0.008226678,0.0001184495,0.00000537959,0.000001107613,0.00007907975,0.9827637,0.00007456915,0.007906178,0.0003169905,0.0004188399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.30386,0.004196132,0.6636265,0.0001247667,0.001696824,0.0003988211,0.00000338379,0.004066886,0.0220267],"genre_scores_gemma":[0.9229196,0.001016943,0.07580105,0.00001688677,0.0000689814,0.00006014758,0.00002953576,0.00004118586,0.00004564237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6190596,"threshold_uncertainty_score":0.9999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267512689003593,"score_gpt":0.229141224048425,"score_spread":0.216466097158389,"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."}}