{"id":"W2020730060","doi":"10.1364/ol.37.004338","title":"Terahertz detection using spectral domain interferometry","year":2012,"lang":"en","type":"article","venue":"Optics Letters","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Terahertz radiation; Optics; Interferometry; Phase difference; Terahertz spectroscopy and technology; Sampling (signal processing); Spectral resolution; Phase (matter); Materials science; Electric field; Physics; Detector; Spectral line","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":[0.0000811338,0.0001103138,0.00009800685,0.00007161934,0.00003551399,0.00003400032,0.0000750908,0.00005057954,0.00004477008],"category_scores_gemma":[0.000005404616,0.0001091285,0.0000460336,0.0001245334,0.00002688697,0.0002061175,0.00001796175,0.0001594601,0.00005868598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107412,"about_ca_system_score_gemma":0.000001704536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004675369,"about_ca_topic_score_gemma":0.000001908573,"domain_scores_codex":[0.9993662,0.000009664136,0.0001187138,0.00007538464,0.00008931888,0.0003407111],"domain_scores_gemma":[0.9997472,0.00002279566,0.00001235467,0.0001180824,0.000004860939,0.00009471331],"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":[0.000006260166,0.00002162319,0.001337348,0.00004673749,0.00006144145,0.000006782383,0.0003373508,0.002050595,0.9938624,0.0004107791,0.00005608426,0.001802633],"study_design_scores_gemma":[0.0008380749,0.00007610251,0.01406362,0.0001092578,0.0001222549,0.0001664017,0.0003535662,0.5512488,0.4185314,0.0002446092,0.01299529,0.001250575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481378,0.000113276,0.04603691,0.00005364761,0.0008125954,0.00004852389,0.00000138366,0.0001304054,0.004665507],"genre_scores_gemma":[0.9850957,0.000007045951,0.01426533,0.0003063578,0.000287768,0.000002390698,0.000001240165,0.00002602248,0.000008167251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5753309,"threshold_uncertainty_score":0.445013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115000806450905,"score_gpt":0.2150305651835956,"score_spread":0.2038805571190865,"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."}}