{"id":"W2096826755","doi":"10.1103/physreva.70.032322","title":"Long-range entanglement generation via frequent measurements","year":2004,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Air Force Office of Scientific Research; Alfred P. Sloan Foundation","keywords":"Quantum entanglement; Variety (cybernetics); Range (aeronautics); W state; Quantum; Physics; State (computer science); Quantum sensor; Statistical physics; Quantum mechanics; Computer science; Topology (electrical circuits); Quantum network; Algorithm; Engineering; Electrical engineering; Aerospace engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001986366,0.0001134943,0.0001614781,0.00003510941,0.00007053621,0.0000599119,0.0003429602,0.00001053505,0.00002512294],"category_scores_gemma":[0.00001296481,0.00009074544,0.0001473952,0.0003360952,0.00001522366,0.0004672198,0.00005739381,0.00006341358,0.0004009849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000701916,"about_ca_system_score_gemma":0.00002940018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009257935,"about_ca_topic_score_gemma":0.00000465122,"domain_scores_codex":[0.9988859,0.00003858907,0.000236326,0.0001767237,0.0004911367,0.0001713208],"domain_scores_gemma":[0.9993797,0.000005399801,0.00009187988,0.0003450036,0.0000824247,0.00009556808],"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":[0.00000329145,0.001334585,0.0009886198,0.001221201,0.0001156017,0.00001085107,0.001153494,0.0001910238,0.01064701,0.6537108,0.005244604,0.325379],"study_design_scores_gemma":[0.01322238,0.0030622,0.03824769,0.01200172,0.0007690868,0.0001395646,0.00004113041,0.0929222,0.1819244,0.3847472,0.2663367,0.006585689],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01435574,0.008223428,0.9702518,0.003322539,0.0002701686,0.0006501325,0.000001220567,0.0001521947,0.002772785],"genre_scores_gemma":[0.9854727,0.001812378,0.004744678,0.007681489,0.0001560486,0.0001111598,0.000011315,0.000005990698,0.000004261307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.971117,"threshold_uncertainty_score":0.5153983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05519193919704314,"score_gpt":0.3087884694521739,"score_spread":0.2535965302551307,"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."}}