{"id":"W4389544567","doi":"10.1364/fio.2023.fth3b.3","title":"Photon Counting with an Adaptive Storage Loop","year":2023,"lang":"en","type":"article","venue":"","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Max Planck - University of Ottawa Centre for Extreme and Quantum Photonics","funders":"","keywords":"Detector; Photon; Loop (graph theory); Physics; Coupling (piping); Photon counting; Range (aeronautics); Dynamic range; Computer science; Optics; Materials science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004257218,0.0002461038,0.0003452251,0.0003148312,0.0003407177,0.0007055952,0.001168315,0.0004666777,0.001317367],"category_scores_gemma":[0.0009316253,0.000157055,0.0001618428,0.0004571793,0.0006846403,0.001204635,0.0006419062,0.0003482852,0.0001654936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005309038,"about_ca_system_score_gemma":0.0004310415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002458493,"about_ca_topic_score_gemma":0.0002708851,"domain_scores_codex":[0.9997986,0.00003668748,0.00001088983,0.00005186648,0.00007590363,0.00002607603],"domain_scores_gemma":[0.9994845,0.000204198,0.00009243198,0.0001087627,0.00006927214,0.00004073391],"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":[0.002142142,0.0003208658,0.002447321,0.0001726234,0.00006320969,0.0003648738,0.0001564395,0.09355911,0.6814014,0.1786452,0.0007962143,0.03993048],"study_design_scores_gemma":[0.0002227831,0.0006790632,0.000859678,0.00001885283,0.00005346658,0.0002917012,0.00001995133,0.684137,0.2794227,0.03021959,0.003985451,0.00008979681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7512476,0.0002239205,0.2394784,0.0002713585,0.0000953972,0.00007852483,0.0001537683,0.0005217512,0.007929291],"genre_scores_gemma":[0.9597545,0.00007918566,0.0375524,0.00004234483,0.00003184641,0.00004728667,0.00003563531,0.00002177834,0.002435043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001317367,"threshold_uncertainty_score":0.004406989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979477762149448,"score_gpt":0.2346797252315097,"score_spread":0.2148849476100153,"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."}}