{"id":"W163980744","doi":"10.1007/978-0-387-92131-0_11","title":"Optical Access-Metro Networks","year":2009,"lang":"en","type":"book-chapter","venue":"Optical networks series","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Access network; Computer network; 10G-PON; Bottleneck; Access technology; Telecommunications; Ethernet; Computer science; Passive optical network; Broadband; Wavelength-division multiplexing","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":[0.0001273605,0.0009870036,0.0004119689,0.000870311,0.0006214197,0.001623608,0.0007813288,0.0007865371,0.03639441],"category_scores_gemma":[0.0002638678,0.0003140871,0.0001931494,0.001345953,0.0004476586,0.002735246,0.0009122764,0.001239072,0.01631362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007931314,"about_ca_system_score_gemma":0.0005218601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007814685,"about_ca_topic_score_gemma":0.002527669,"domain_scores_codex":[0.9998503,0.00001319333,0.00000361806,0.00002659911,0.00008960572,0.00001666755],"domain_scores_gemma":[0.9999176,0.00002400422,0.000006218521,0.00001666078,0.00002704009,0.000008484484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001759178,0.0000754852,0.00006755283,0.0002869573,0.000009193814,0.00008869631,0.00009635442,0.002042317,0.004861156,0.2411516,0.1907445,0.5605585],"study_design_scores_gemma":[0.000002092151,0.00001621725,0.0001247944,0.0001030531,0.000004251169,0.00015724,0.00003058875,0.002084119,0.001104124,0.03459292,0.9617734,0.000007179574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001619187,0.03505212,0.03740785,0.0009260686,0.003199527,0.00007422682,0.000135154,0.0004693965,0.9211165],"genre_scores_gemma":[0.01155325,0.02958745,0.01192249,0.00042479,0.001161968,0.0000622579,0.0001628939,0.0001370962,0.9449877],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03639441,"threshold_uncertainty_score":0.1217514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186907414685646,"score_gpt":0.2251239804246378,"score_spread":0.2132549062777813,"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."}}