{"id":"W4396892120","doi":"10.1364/ofc.2024.w1b.6","title":"Digital Vibration Detection and Localization using Carrier Laser Phase Noise Retrieval in a Conventional Coherent Transponder","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ciena (Canada); McGill University","funders":"","keywords":"Transponder (aeronautics); Phase noise; Noise (video); Computer science; Vibration; Laser; Electronic engineering; Acoustics; Physics; Engineering; Optics; Artificial intelligence","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":[0.00003879417,0.00009256025,0.00007209184,0.0001168356,0.00002059572,0.00008380327,0.00001546261,0.00006221753,0.0000835533],"category_scores_gemma":[0.000009922961,0.00009593368,0.00002249881,0.0002343025,0.00001986521,0.0005000698,0.00000362592,0.00008253475,0.00000522751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115544,"about_ca_system_score_gemma":0.00001161742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002518213,"about_ca_topic_score_gemma":0.00002077808,"domain_scores_codex":[0.9994769,0.000006148715,0.0001627099,0.0001416313,0.0001105717,0.0001020541],"domain_scores_gemma":[0.9998626,0.00002719134,0.000006823726,0.00004735746,0.00001717411,0.00003886187],"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":[0.0001615244,0.00005261049,0.0005801627,0.0002375748,0.00006069927,0.00003178508,0.0006204103,0.7116194,0.2727877,0.0003286251,0.00002840768,0.013491],"study_design_scores_gemma":[0.0005992752,0.00002258043,0.0001373964,0.0000355709,0.00000949655,0.0000131783,0.00007503374,0.9507465,0.04753586,0.000163996,0.0005469288,0.0001141851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5401502,0.00007590115,0.4591844,0.000004942277,0.0001574096,0.00009577324,0.00001306597,0.0001289627,0.0001893236],"genre_scores_gemma":[0.9993544,0.000007801428,0.0004239519,0.00001098693,0.000033826,0.000003133567,0.00002877358,0.00002554802,0.0001115644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4592042,"threshold_uncertainty_score":0.3912062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258044139635738,"score_gpt":0.2494055130437564,"score_spread":0.236825071647399,"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."}}