{"id":"W2060656608","doi":"10.1103/physreva.73.033814","title":"Highly nonclassical photon statistics in parametric down-conversion","year":2006,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Australian Research Council; Army Research Office; Multidisciplinary University Research Initiative","keywords":"Spontaneous parametric down-conversion; Parametric statistics; Photon; Photon statistics; Physics; Photon counting; Beam (structure); Two-photon excitation microscopy; Statistics; Optics; Statistical physics; Quantum mechanics; Mathematics; Quantum; Quantum entanglement","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":[],"consensus_categories":[],"category_scores_codex":[0.0001590661,0.0001187198,0.0002623106,0.0001317246,0.00003538473,0.00005584074,0.0003827087,0.0000204172,0.00001659779],"category_scores_gemma":[0.00005027777,0.00009497155,0.000103591,0.001490504,0.00003859422,0.0003496691,0.00008299466,0.000148774,0.0003997293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003408091,"about_ca_system_score_gemma":0.00003311604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003873416,"about_ca_topic_score_gemma":0.000002182168,"domain_scores_codex":[0.9988909,0.00006159888,0.0002952057,0.000195913,0.0003385658,0.000217782],"domain_scores_gemma":[0.9993259,0.0001536221,0.00009999958,0.000300182,0.00004983257,0.00007046687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002727678,0.0003145188,0.0004593389,0.0004650214,0.000003424109,0.00001072315,0.00003465428,0.00001099937,0.00006749932,0.9410519,0.01878576,0.03879341],"study_design_scores_gemma":[0.00152966,0.0003664957,0.039242,0.001385762,0.00004832036,0.0000131457,0.000007540317,0.3949331,0.002768175,0.1982643,0.3604443,0.0009972602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1345212,0.008359079,0.8218511,0.00443839,0.0005399687,0.001444708,0.00002807836,0.0004440124,0.02837345],"genre_scores_gemma":[0.9876066,0.001751303,0.008667009,0.001844776,0.0000543227,0.0000323129,0.00001476771,0.000005350837,0.00002352749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8530854,"threshold_uncertainty_score":0.5137845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009198445081128674,"score_gpt":0.2651088465431891,"score_spread":0.2559104014620605,"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."}}