{"id":"W3114339719","doi":"10.1103/prxquantum.2.020350","title":"Random-Receiver Quantum Communication","year":2021,"lang":"en","type":"preprint","venue":"PRX Quantum","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Croucher Foundation; National Natural Science Foundation of China; Canadian Institute for Advanced Research; John Templeton Foundation","keywords":"Communication source; Quantum; Quantum capacity; Computer science; Quantum information science; Quantum channel; Amplitude damping channel; Quantum entanglement; Quantum network; Channel (broadcasting); Topology (electrical circuits); Theoretical computer science; Computer network; Mathematics; Quantum mechanics; Physics; Combinatorics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009805148,0.0004831801,0.0006500365,0.0004196921,0.0003353562,0.00125822,0.003357786,0.0004323584,0.0001942517],"category_scores_gemma":[0.0001399119,0.0004798134,0.0005380548,0.0006804272,0.0001446819,0.001044394,0.00281285,0.00118641,0.0003311418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000796204,"about_ca_system_score_gemma":0.0003672664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001418801,"about_ca_topic_score_gemma":0.00002215225,"domain_scores_codex":[0.9966442,0.0004791892,0.0009182146,0.0007095904,0.0007393854,0.0005093959],"domain_scores_gemma":[0.9952136,0.0002402814,0.000641987,0.003198159,0.0004905136,0.0002155178],"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":[0.00006071472,0.0003855707,0.0004231565,0.0004934777,0.0002933075,0.00002982761,0.008979842,0.001216276,0.000154794,0.9510713,0.02305445,0.01383726],"study_design_scores_gemma":[0.002462625,0.00008118436,0.003603099,0.0006768725,0.00007839009,0.00005136989,0.000728389,0.8229011,0.0008898681,0.1164664,0.05048279,0.001577943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07194039,0.006170143,0.8962515,0.005033415,0.003981769,0.001051434,0.00002920208,0.001359321,0.01418284],"genre_scores_gemma":[0.9759837,0.00233975,0.01947525,0.001422994,0.00009735121,0.000197293,0.0003349036,0.00003695336,0.0001118007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9040433,"threshold_uncertainty_score":0.9997786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038798397431282,"score_gpt":0.2564027004253764,"score_spread":0.2360147164510636,"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."}}