{"id":"W4400978362","doi":"10.1103/physreva.110.013712","title":"Beyond the parametric approximation: Pump depletion, entanglement, and squeezing in macroscopic down-conversion","year":2024,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Alliance de recherche numérique du Canada","keywords":"Quantum entanglement; Parametric statistics; Spontaneous parametric down-conversion; Physics; Quantum mechanics; Statistical physics; Quantum electrodynamics; Mathematics; Quantum; Statistics","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":[0.0002498068,0.0003565861,0.0004551944,0.0003068027,0.0003497217,0.0006420445,0.000559381,0.0005238251,0.0008970966],"category_scores_gemma":[0.0009578496,0.0001945492,0.0003605844,0.0002531489,0.0009832217,0.001010777,0.0004902829,0.0009522616,0.0001478356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004321618,"about_ca_system_score_gemma":0.0003005321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009258968,"about_ca_topic_score_gemma":0.0005951741,"domain_scores_codex":[0.9999152,0.00001660417,0.000002313499,0.000009835723,0.0000431326,0.00001289479],"domain_scores_gemma":[0.9997774,0.0001387463,0.00001980477,0.00003040611,0.0000226317,0.00001100094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001052828,0.0001672325,0.0006860638,0.0003010302,0.00005742282,0.0005639635,0.0002392844,0.103812,0.05928034,0.8023704,0.002941723,0.0294752],"study_design_scores_gemma":[0.0000407216,0.00009708839,0.001585379,0.00004295193,0.00003355896,0.0003011523,0.00005095042,0.6822618,0.01604958,0.2897375,0.009755944,0.00004345251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6080965,0.02684351,0.2633896,0.007587889,0.001244138,0.0001077239,0.00009777459,0.0004247422,0.09220803],"genre_scores_gemma":[0.9723236,0.007121494,0.01077258,0.0003747091,0.0001542072,0.00002530943,0.00002295299,0.0000499444,0.00915523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009258968,"threshold_uncertainty_score":0.003135562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228699285508041,"score_gpt":0.3249394431684739,"score_spread":0.3126524503133935,"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."}}