{"id":"W2013709068","doi":"10.1364/ol.33.000019","title":"Frequency-domain modal delay measurement for higher-order mode fiber based on stretched pulse interference","year":2007,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Optics; Interference (communication); Pulse shaping; Modal; Frequency domain; Mode volume; Pulse (music); Optical fiber; Modal dispersion; Materials science; Time domain; Mode (computer interface); Physics; Fiber optic sensor; Graded-index fiber; Telecommunications; Computer science; Detector; Channel (broadcasting)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002995707,0.0003378453,0.0002436059,0.0001424525,0.00005837756,0.00003566389,0.0002381631,0.0001309144,0.00009347715],"category_scores_gemma":[0.00005684038,0.0003552347,0.00009719266,0.0001805166,0.00006161826,0.0001023427,0.00001641235,0.0002889861,0.00004860556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020431,"about_ca_system_score_gemma":0.00002106882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008342527,"about_ca_topic_score_gemma":0.00001977023,"domain_scores_codex":[0.998208,0.00001609915,0.0003680023,0.0003415342,0.000425579,0.0006407737],"domain_scores_gemma":[0.9990259,0.0001736431,0.00005199574,0.0004718246,0.000125153,0.0001514782],"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":[0.00008435679,0.00005523728,0.00005463552,0.00006789502,0.00008651579,0.00004177148,0.0002229922,0.8448749,0.1509009,0.000998883,0.000739086,0.001872826],"study_design_scores_gemma":[0.004443869,0.0003521403,0.0007002209,0.0003171263,0.0001341902,0.00001025876,0.0001682691,0.9203827,0.06608583,0.002746706,0.002623283,0.002035368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2811274,0.00002549644,0.7128202,0.00107862,0.0005799829,0.0004440998,0.0000301636,0.000265012,0.003629063],"genre_scores_gemma":[0.6750946,0.000001496431,0.323628,0.0009514011,0.0001318574,0.00004057859,0.00001859745,0.00009105264,0.00004239248],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3939672,"threshold_uncertainty_score":0.99989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052659559873478,"score_gpt":0.2415776338507411,"score_spread":0.2210510382520063,"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."}}