{"id":"W157969108","doi":"10.1007/0-387-29026-5_14","title":"Optimization Techniques for Survivable Optical Networks","year":2006,"lang":"en","type":"book-chapter","venue":"Kluwer Academic Publishers eBooks","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Solver; Integer programming; Mathematical optimization; Computer science; Linear programming; Integer (computer science); Routing and wavelength assignment; Optimization problem; Wavelength-division multiplexing; Mathematics; Wavelength","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","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003485597,0.0008263148,0.0008159739,0.0003719819,0.0001164204,0.0002438003,0.0009498773,0.003839296,0.00006057943],"category_scores_gemma":[0.0001126201,0.0008848234,0.0002715295,0.00006393997,0.0003676555,0.0006049353,0.0002299153,0.002903886,0.000009443058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004168109,"about_ca_system_score_gemma":0.0000464609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000185974,"about_ca_topic_score_gemma":0.000002077054,"domain_scores_codex":[0.9970468,0.00000823618,0.0008810365,0.0007102955,0.0003757893,0.0009778423],"domain_scores_gemma":[0.9984742,0.0003135854,0.0001741755,0.0006703737,0.0001914979,0.0001761239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002092819,0.000003888937,0.00000205187,0.0001074486,0.0001196437,0.000006821037,0.000004679192,0.5074251,0.00001718564,0.08235469,0.3643903,0.04554727],"study_design_scores_gemma":[0.0002780452,0.00006050333,4.714575e-7,0.0002627517,0.0001242805,0.00001090828,0.000005502652,0.2131085,0.0001669157,0.04903327,0.7357745,0.001174378],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[7.598438e-7,0.0007519032,0.4667251,0.00005967602,0.0004238751,0.0007682329,0.00002280361,0.003396197,0.5278515],"genre_scores_gemma":[0.0007830307,0.0004159222,0.3550176,0.0003420591,0.002545646,0.0008173406,0.000826048,0.001115855,0.6381365],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3713842,"threshold_uncertainty_score":0.9993964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245652031186369,"score_gpt":0.2180152866040727,"score_spread":0.205558766292209,"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."}}