{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006216464,0.0001194832,0.0001587984,0.00002063548,0.00008134919,0.00005999805,0.000175138,0.00007337362,0.0002013114],"category_scores_gemma":[0.00004638392,0.0001331211,0.00005099072,0.0002081303,0.00004512185,0.0001818033,0.00005950064,0.000190647,0.0001979087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145866,"about_ca_system_score_gemma":0.00004618473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003799322,"about_ca_topic_score_gemma":0.000006403137,"domain_scores_codex":[0.9991525,0.00003261843,0.0002661364,0.0001768674,0.0001646252,0.0002071993],"domain_scores_gemma":[0.9990711,0.0001356756,0.00003256549,0.0005884238,0.0001051484,0.00006715304],"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":[0.00003064823,0.0002585929,0.0006817876,0.0002701294,0.0003283112,0.000160215,0.003760731,0.07636083,0.6059564,0.2547223,0.003938912,0.05353117],"study_design_scores_gemma":[0.001159398,0.00005758977,0.002098552,0.0002235831,0.0000851447,0.0003218206,0.002269825,0.08351195,0.529581,0.008715294,0.3707401,0.001235797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06065229,0.001730017,0.8205439,0.0007233421,0.000434699,0.0002955022,0.00001258578,0.0007247644,0.1148829],"genre_scores_gemma":[0.940426,0.00006473914,0.0590504,0.00004307823,0.00006971393,0.00003554693,0.00004060855,0.00003344332,0.0002364682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8797737,"threshold_uncertainty_score":0.5428519,"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."}}