{"id":"W1990259153","doi":"10.1088/1367-2630/10/7/073018","title":"Quantum key distribution with triggering parametric down-conversion sources","year":2008,"lang":"en","type":"article","venue":"New Journal of Physics","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Quantum key distribution; Physics; Decoy; Detector; Photon; Parametric statistics; Key (lock); Protocol (science); Limit (mathematics); State (computer science); Computer science; Quantum mechanics; Optics; Algorithm; Computer security","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":[0.001369012,0.0003547666,0.0005653686,0.0003200074,0.0004874516,0.0009745883,0.0009921154,0.0007943518,0.001216611],"category_scores_gemma":[0.004347737,0.0001907535,0.000350184,0.0006470753,0.00149924,0.002283641,0.001268304,0.0008826762,0.0001208744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009777015,"about_ca_system_score_gemma":0.0007572294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006460832,"about_ca_topic_score_gemma":0.0002607986,"domain_scores_codex":[0.9989543,0.000313399,0.00006067445,0.00014346,0.0003754114,0.000152726],"domain_scores_gemma":[0.9971927,0.001540058,0.0003925447,0.0005463387,0.0002208523,0.0001075509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002126017,0.0004235229,0.005655962,0.000382387,0.0001355832,0.0009826897,0.0004039488,0.4503396,0.1049729,0.4014258,0.001264422,0.03188716],"study_design_scores_gemma":[0.0004352039,0.0006765629,0.001226615,0.00002021154,0.00006042211,0.0002720791,0.00005712941,0.8944589,0.05938983,0.04132228,0.002001974,0.00007884874],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8085747,0.0003685925,0.1819681,0.0004021552,0.00008613283,0.0002114849,0.000152495,0.0003595535,0.007876791],"genre_scores_gemma":[0.9906411,0.00007932076,0.008868487,0.00002624576,0.000008498258,0.00004668905,0.00002646433,0.00000858781,0.0002946045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001369012,"threshold_uncertainty_score":0.007240117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565033508650837,"score_gpt":0.2124721788783883,"score_spread":0.19682184379188,"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."}}