{"id":"W3160813649","doi":"10.1364/oe.432191","title":"High speed imaging of spectral-temporal correlations in Hong-Ou-Mandel interference","year":2021,"lang":"en","type":"article","venue":"Optics Express","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; National Research Council Canada","funders":"Defence Research and Development Canada","keywords":"Optics; Physics; Spectral resolution; Interferometry; Spectral imaging; Temporal resolution; Interference (communication); Photon counting; Photon; Spectrometer; Free spectral range; Wavelength; Nanosecond; Laser; Computer science; Spectral line; Telecommunications","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":[0.0002483006,0.0001941139,0.0001308056,0.0005596858,0.0002331312,0.000242851,0.0003565564,0.0002062883,0.0008294347],"category_scores_gemma":[0.0005396123,0.0001609419,0.00007651514,0.0003676276,0.0003598238,0.0004253431,0.0004275689,0.000318529,0.0001310353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002475626,"about_ca_system_score_gemma":0.0002281244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000444464,"about_ca_topic_score_gemma":0.0009310122,"domain_scores_codex":[0.9998649,0.00002551422,0.000004602216,0.00002351547,0.00005319537,0.00002823849],"domain_scores_gemma":[0.9996599,0.0001234423,0.0001049826,0.00003131325,0.00004855375,0.0000318405],"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":[0.0001902961,0.00003713123,0.002203895,0.00005575673,0.0000130988,0.0003250852,0.0001388626,0.001382818,0.9730578,0.003802718,0.0001724964,0.01861993],"study_design_scores_gemma":[0.00002810965,0.0002230639,0.01207925,0.00001332128,0.00001394685,0.0007032689,0.00008285959,0.05292574,0.9301854,0.001487672,0.002227291,0.00003005544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258783,0.0004379605,0.06836223,0.00006314229,0.00001813354,0.00002478439,0.00006132189,0.0002676132,0.004886558],"genre_scores_gemma":[0.9411507,0.000184171,0.05766332,0.00003293142,0.00001328346,0.00002901026,0.00003891483,0.00002520554,0.0008625782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008294347,"threshold_uncertainty_score":0.002774715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597778283098476,"score_gpt":0.2434903748846338,"score_spread":0.227512592053649,"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."}}