{"id":"W3208871366","doi":"10.1364/ais.2021.jw4e.7","title":"Photodetector nonlinearity in dual-comb interferometry","year":2021,"lang":"en","type":"article","venue":"OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Photodetector; Detector; Interferometry; Optics; Dual (grammatical number); Optoelectronics; Nonlinear system; Signal-to-noise ratio (imaging); Materials science; SIGNAL (programming language); Noise (video); Physics; Computer science","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":[0.000297729,0.0006954761,0.001102015,0.0002976059,0.0002863246,0.0003296245,0.0001732972,0.0003966846,0.000527023],"category_scores_gemma":[0.0007106016,0.0007085213,0.0002550318,0.0008536187,0.0006191204,0.0003111441,0.0005158026,0.001385917,0.00008313158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118866,"about_ca_system_score_gemma":0.0001117055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002161139,"about_ca_topic_score_gemma":0.0001251006,"domain_scores_codex":[0.995962,0.0002360468,0.0008736286,0.001300936,0.0005492393,0.001078114],"domain_scores_gemma":[0.9972682,0.0007089941,0.0002234423,0.0009180685,0.0004653652,0.0004159036],"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":[0.001493729,0.003475501,0.05658704,0.0006491223,0.001914633,0.01587183,0.00249614,0.00386716,0.4426814,0.05791042,0.005585082,0.4074679],"study_design_scores_gemma":[0.00630535,0.0003261506,0.008631795,0.001055329,0.0003575193,0.0005452785,0.007270713,0.03595257,0.8691261,0.005689956,0.06090996,0.003829314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923918,0.000513593,0.0006376618,0.00243882,0.0007700778,0.0003192813,0.0001954514,0.0001940662,0.002539202],"genre_scores_gemma":[0.9810336,0.0001575015,0.01614625,0.0001556628,0.0003624785,0.000005876296,0.0001338176,0.00009827888,0.001906496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4264446,"threshold_uncertainty_score":0.9995366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016548623465046,"score_gpt":0.2468503218281629,"score_spread":0.2366848355935124,"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."}}