{"id":"W2891869894","doi":"10.1109/phosst.2018.8456791","title":"Machine Learning Techniques for Estimating the Quality of Transmission of Lightpaths","year":2018,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Universidad de Valladolid; Tel Aviv University","keywords":"Computer science; Transmission (telecommunications); Wavelength-division multiplexing; Quality (philosophy); Machine learning; Artificial intelligence; Telecommunications","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":[0.002169312,0.0008877462,0.0007075391,0.001468308,0.000383786,0.00106751,0.000983018,0.00106305,0.0006638637],"category_scores_gemma":[0.01031141,0.0002997255,0.0004098961,0.001221276,0.0006725534,0.001526544,0.000521926,0.001427174,0.0003560407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006629501,"about_ca_system_score_gemma":0.0004425525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417686,"about_ca_topic_score_gemma":0.001043595,"domain_scores_codex":[0.9991421,0.0002913718,0.00006613864,0.0001352084,0.0003023395,0.00006289274],"domain_scores_gemma":[0.9943411,0.004032817,0.0006643442,0.0002912861,0.0006270431,0.00004325273],"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":[0.0001230614,0.0001328067,0.005193762,0.0001506822,0.0001041227,0.00008296091,0.00008169178,0.6714634,0.01268111,0.01089994,0.0008364309,0.29825],"study_design_scores_gemma":[0.000004064533,0.00003273995,0.000587285,0.00001149261,0.000007803126,0.00002943628,0.000006775815,0.9913254,0.003657188,0.004096175,0.000231286,0.00001021736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02179728,0.0005090787,0.9763832,0.0001637609,0.00002445881,0.00002391315,0.00004586316,0.0003446456,0.0007077787],"genre_scores_gemma":[0.6775833,0.000935136,0.319463,0.0001356871,0.0001946092,0.0001042715,0.0002287363,0.0000604994,0.001294846],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002169312,"threshold_uncertainty_score":0.01147252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149103151091217,"score_gpt":0.2944406485206709,"score_spread":0.2729496170097587,"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."}}