{"id":"W2042992417","doi":"10.1109/cleoe-iqec.2007.4386427","title":"Temporal-Talbot Effect Based All-Optical Clock Recovery Using Bragg gratings","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Fiber Bragg grating; Talbot effect; Optics; Duty cycle; Materials science; PHOSFOS; Pulse (music); Lossless compression; Optoelectronics; Optical fiber; Dispersion-shifted fiber; Physics; Computer science; Fiber optic sensor; Grating; Voltage; Data compression","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":[0.00070402,0.0002014762,0.0002471039,0.0001038086,0.00006150478,0.00003795303,0.0002338506,0.0001154849,0.0001120633],"category_scores_gemma":[0.00008490365,0.0001927602,0.00009577588,0.0002403693,0.00003151104,0.0001681833,0.00004876444,0.0002461903,0.000069922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002058486,"about_ca_system_score_gemma":0.00002041995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000770582,"about_ca_topic_score_gemma":0.00008233768,"domain_scores_codex":[0.9987984,0.00004320547,0.0004230672,0.0001832186,0.0002040016,0.0003480656],"domain_scores_gemma":[0.998535,0.0006061414,0.00005177802,0.0006432947,0.00003509379,0.0001286596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002033785,0.0001350199,0.01049727,0.0005921765,0.0002795671,0.00007357737,0.0004079734,0.3048291,0.6454399,0.002194543,0.003052896,0.03229466],"study_design_scores_gemma":[0.001434,0.0001787057,0.00102184,0.0001964923,0.00004253164,0.00007129965,0.0001196169,0.6600136,0.2952262,0.0001424761,0.04066422,0.000888948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5031211,0.0002551994,0.4651721,0.00003298239,0.0003761476,0.0003947785,0.000002652543,0.0008286209,0.02981647],"genre_scores_gemma":[0.9497871,0.000004091812,0.04975137,0.0001231052,0.00005809636,0.00001106585,0.00001373786,0.00005696872,0.0001944579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.446666,"threshold_uncertainty_score":0.7860532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747718872406842,"score_gpt":0.2764108252786884,"score_spread":0.25893363655462,"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."}}