{"id":"W2065857192","doi":"10.1103/physrevb.80.241303","title":"Entangled photons on demand: Erasing which-path information with sidebands","year":2009,"lang":"en","type":"article","venue":"Physical Review B","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biexciton; Quantum entanglement; Photon; Physics; Cascade; Exciton; Photon entanglement; Path (computing); Quantum information; Energy (signal processing); Quantum; Quantum mechanics; Computer science; Computer network; Chemistry","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":[0.0003311864,0.0002323802,0.0003763244,0.0001677172,0.0003114737,0.0008109779,0.0004890763,0.0004373834,0.002489571],"category_scores_gemma":[0.0007611851,0.0002566923,0.0001539376,0.0003623223,0.0005512245,0.001428291,0.0008380669,0.0006304897,0.000490118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002060956,"about_ca_system_score_gemma":0.0002791893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001988814,"about_ca_topic_score_gemma":0.0004134237,"domain_scores_codex":[0.9998053,0.00002768405,0.00001018311,0.00003139989,0.00007462486,0.00005090469],"domain_scores_gemma":[0.9992201,0.0003578576,0.00009833991,0.0002369326,0.00005125827,0.00003544791],"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":[0.0004791508,0.0001549245,0.001129904,0.0001717693,0.00004110481,0.0004651886,0.0003126721,0.0065348,0.8776466,0.06058747,0.001101048,0.05137534],"study_design_scores_gemma":[0.00004156715,0.0001489794,0.001014643,0.00002770169,0.00003531923,0.0003770792,0.00009780704,0.06194545,0.9081667,0.0185067,0.009588159,0.00004985628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176038,0.001443963,0.06400611,0.0005888924,0.0001162994,0.00004862641,0.0002377081,0.0002585162,0.0156961],"genre_scores_gemma":[0.9732516,0.0008940106,0.02072865,0.0001297504,0.00004026295,0.00003727168,0.0001161819,0.00005260522,0.004749667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002489571,"threshold_uncertainty_score":0.008328438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006759628160884681,"score_gpt":0.2730595846442811,"score_spread":0.2662999564833964,"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."}}