{"id":"W2000559064","doi":"10.1103/physreva.83.052320","title":"Strong quantitative benchmarking of quantum optical devices","year":2011,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantum entanglement; Quantum; Computer science; Quantum sensor; Quantum imaging; Quantum technology; Quantum network; Theoretical computer science; Physics; Electronic engineering; Quantum mechanics; Open quantum system; Engineering","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":[0.006378065,0.0008004874,0.001079652,0.001823575,0.0009368994,0.002571152,0.001836694,0.001288608,0.002955451],"category_scores_gemma":[0.02136672,0.0004224167,0.0004358356,0.0009543757,0.005180147,0.005408411,0.003761766,0.001806613,0.0002992886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674407,"about_ca_system_score_gemma":0.0007899025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002303371,"about_ca_topic_score_gemma":0.0002346174,"domain_scores_codex":[0.9929847,0.002448631,0.0003117502,0.0006687029,0.003171064,0.0004152076],"domain_scores_gemma":[0.9882991,0.006213088,0.001096887,0.002914469,0.001091282,0.0003851544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000128467,0.0001170913,0.001194553,0.0002057524,0.00003681932,0.000112477,0.0001527512,0.05806622,0.02613796,0.8984467,0.0007554294,0.01464582],"study_design_scores_gemma":[0.00003091707,0.0002451911,0.001295644,0.0000865444,0.00002056567,0.0001230846,0.0001005578,0.4224356,0.04901428,0.5231848,0.003388464,0.00007435471],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4677406,0.001260537,0.4677671,0.001343295,0.0001881502,0.0002375929,0.0004733574,0.0007224922,0.06026705],"genre_scores_gemma":[0.9782265,0.0001810159,0.01989496,0.00007670662,0.00003224722,0.0001052689,0.0001149464,0.00006810766,0.0013003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006378065,"threshold_uncertainty_score":0.03373086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05696274255305409,"score_gpt":0.3210486556017591,"score_spread":0.264085913048705,"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."}}