{"id":"W1966529494","doi":"10.1364/ol.37.000755","title":"Photonic approach to the measurement of time-difference-of-arrival and angle-of-arrival of a microwave signal","year":2012,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Optics; Angle of arrival; Arrival time; Microwave; SIGNAL (programming language); Time of arrival; Signal processing; Physics; Photonics; Computer science; Telecommunications; Radar; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004322463,0.0001351534,0.0003099857,0.00007330075,0.00001945373,0.000004225568,0.0003313614,0.00004343277,0.000008358747],"category_scores_gemma":[0.00002227346,0.0001133373,0.00006716964,0.0001553123,0.0001078892,0.00004347116,0.0000979816,0.0001220583,0.000002090498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000053545,"about_ca_system_score_gemma":0.00001830419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001191132,"about_ca_topic_score_gemma":0.000001493724,"domain_scores_codex":[0.9989052,0.00005329915,0.0004222245,0.00009533519,0.0003263503,0.000197566],"domain_scores_gemma":[0.9990507,0.00009329803,0.0001545852,0.0005506761,0.00008704809,0.00006369147],"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":[0.00001797661,0.00004952644,0.0004057624,0.0001852899,0.0001020514,6.064316e-8,0.002881253,0.01616932,0.9793427,0.0001360878,0.00009163792,0.0006183402],"study_design_scores_gemma":[0.0006713873,0.00008684246,0.001648082,0.0002328868,0.00009237423,0.00001142421,0.0006098982,0.05877268,0.9363798,0.00002603821,0.00116225,0.0003062991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445986,0.0008796994,0.05041989,0.00007418005,0.0001089905,0.0004988367,0.00002610533,0.0000226326,0.003371033],"genre_scores_gemma":[0.9786985,0.00002072273,0.02118008,0.00002604502,0.0000219999,0.00002064573,0.000002729622,0.00002240412,0.000006906238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04296285,"threshold_uncertainty_score":0.4621761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552877001200889,"score_gpt":0.2145099533863109,"score_spread":0.188981183374302,"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."}}