{"id":"W1971894109","doi":"10.1364/ofc.2012.ow4c.7","title":"Reconfigurable coherent transceivers for optical transmission capacity and reach optimization","year":2012,"lang":"en","type":"article","venue":"Optical Fiber Communication Conference","topic":"Optical Network Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada)","funders":"","keywords":"Transceiver; Wavelength-division multiplexing; Transmission (telecommunications); Flexibility (engineering); Computer science; Optical performance monitoring; Electronic engineering; SIGNAL (programming language); Telecommunications; Engineering; Optoelectronics; Materials science; Wireless","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":[],"consensus_categories":[],"category_scores_codex":[0.000279952,0.0002007794,0.0002431067,0.00005191654,0.0001438373,0.0000748297,0.0003161218,0.000262993,0.0002730213],"category_scores_gemma":[0.00008651272,0.0001959855,0.00005495708,0.0001284427,0.0002705817,0.0003551144,0.00002215364,0.0003506852,0.00002319785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006326623,"about_ca_system_score_gemma":0.0000131379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003558336,"about_ca_topic_score_gemma":0.000002146206,"domain_scores_codex":[0.9989296,0.00003645514,0.0003048132,0.0001809053,0.0001343446,0.0004138688],"domain_scores_gemma":[0.9987175,0.0004389404,0.0000269491,0.0004965484,0.0001087953,0.0002113039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001291782,0.0003489208,0.0002672161,0.0004079058,0.0001522834,4.302174e-7,0.0009789334,0.04410752,0.01350003,0.4600866,0.001461649,0.4785593],"study_design_scores_gemma":[0.001460502,0.0002073075,0.001242292,0.0003050871,0.0001812924,0.00002103625,0.0003231799,0.9267407,0.02827564,0.004002753,0.03624047,0.0009997117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1281004,0.002372783,0.7197739,0.003562371,0.0001991921,0.001559182,0.00003347074,0.001597924,0.1428007],"genre_scores_gemma":[0.7180535,0.0008899969,0.280781,0.00001989753,0.00001800094,0.00009150599,0.00003743232,0.00002394215,0.00008473814],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8826332,"threshold_uncertainty_score":0.7992055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03853053538562166,"score_gpt":0.237785641178809,"score_spread":0.1992551057931873,"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."}}