{"id":"W2137123115","doi":"10.1109/lpt.2008.2006060","title":"PON Monitoring: Periodic Encoders With Low Capital and Operational Cost","year":2008,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Optical Network Technologies","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Encoder; Computer science; Electronic engineering; Coding (social sciences); Computer hardware; Engineering","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":[0.0004227386,0.0002973806,0.0002833353,0.0003718868,0.0002249539,0.0004301307,0.0008865902,0.0003974891,0.0008156392],"category_scores_gemma":[0.00105174,0.0002054895,0.0001027188,0.0002857936,0.0004477318,0.0008753781,0.000377117,0.0003784048,0.0002123212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004743478,"about_ca_system_score_gemma":0.0004629909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008457369,"about_ca_topic_score_gemma":0.001771822,"domain_scores_codex":[0.9994189,0.00008793743,0.0000173902,0.0001143109,0.0003178667,0.00004361746],"domain_scores_gemma":[0.9991927,0.0002265643,0.0002556164,0.0001395702,0.0001405748,0.00004503069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000717168,0.0003363437,0.005609708,0.0002400293,0.00003620363,0.0003199553,0.0001330588,0.009019057,0.759352,0.0105264,0.001914002,0.2117961],"study_design_scores_gemma":[0.0001128398,0.001257232,0.007215819,0.0000325943,0.00006864186,0.001429939,0.00003258292,0.1622243,0.8190495,0.00176877,0.006732991,0.00007473049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6439352,0.001223691,0.3408707,0.000377205,0.0001216709,0.000183628,0.0001593116,0.001940015,0.01118851],"genre_scores_gemma":[0.8929259,0.0001252176,0.1040687,0.00007040059,0.00005772764,0.00004347325,0.00007810312,0.00003139978,0.002599158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008865902,"threshold_uncertainty_score":0.003441632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006855346255399289,"score_gpt":0.1898935353334532,"score_spread":0.1830381890780539,"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."}}