{"id":"W4200100520","doi":"10.1364/optica.428727","title":"Optical signal denoising through temporal passive amplification","year":2021,"lang":"en","type":"article","venue":"Optica","topic":"Advanced Photonic Communication Systems","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"SIGNAL (programming language); Noise reduction; Computer science; Environmental science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037936,0.0005126027,0.0002945555,0.0003942006,0.0002030853,0.0007529796,0.0008032278,0.0005334732,0.001718704],"category_scores_gemma":[0.001062722,0.000281753,0.0003015099,0.0003397577,0.000769477,0.000874137,0.001124668,0.0005631222,0.0007202753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004216613,"about_ca_system_score_gemma":0.0002273731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002360419,"about_ca_topic_score_gemma":0.0003658013,"domain_scores_codex":[0.999676,0.00003696103,0.00001388272,0.00009785264,0.000138321,0.00003702905],"domain_scores_gemma":[0.9996194,0.0001313095,0.00009179541,0.00006269439,0.00007475094,0.00002014196],"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":[0.0001383889,0.00006601666,0.0002804952,0.0001348662,0.00002261523,0.0001463794,0.0001945483,0.009277487,0.9157521,0.01841174,0.0007134281,0.05486193],"study_design_scores_gemma":[0.00002263107,0.0002189442,0.0004260293,0.00002865737,0.00002497462,0.0002740861,0.00004037192,0.2382036,0.7443699,0.006473555,0.009886868,0.00003039595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1869722,0.0008832134,0.7931082,0.0005249511,0.0001364421,0.00007985672,0.0000923365,0.001301653,0.0169012],"genre_scores_gemma":[0.8005068,0.001034982,0.182317,0.0004534945,0.0001279411,0.0001396806,0.0001773722,0.000244447,0.0149984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001718704,"threshold_uncertainty_score":0.005749643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104278110511468,"score_gpt":0.2584002387176798,"score_spread":0.2373574576125651,"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."}}