{"id":"W3100514473","doi":"","title":"Quantum rate-distortion coding with auxiliary resources","year":2013,"lang":"en","type":"article","venue":"Civil War Book Review","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Quantum capacity; Quantum channel; Mathematics; Quantum information; Qubit; Rate–distortion theory; Quantum information science; Quantum entanglement; Quantum; Topology (electrical circuits); Quantum network; Discrete mathematics; Quantum mechanics; Algorithm; Physics; Data compression; Combinatorics","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":[0.002555288,0.0009586498,0.0009930662,0.001163456,0.0005521488,0.002576358,0.001818879,0.001253619,0.003179966],"category_scores_gemma":[0.006126929,0.0004304943,0.001066798,0.001672127,0.003332652,0.004847602,0.002215854,0.003515461,0.0009066879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002406045,"about_ca_system_score_gemma":0.001198411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007822068,"about_ca_topic_score_gemma":0.0004254383,"domain_scores_codex":[0.9980773,0.0005600326,0.0001082155,0.0002637836,0.0008207786,0.0001698878],"domain_scores_gemma":[0.9949928,0.002700387,0.0003099509,0.001333395,0.0005813526,0.00008213877],"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":[0.00003003656,0.00001420758,0.00007503345,0.00008380844,0.00001445924,0.00005667659,0.00006423763,0.02121663,0.001487317,0.9596031,0.001192689,0.016162],"study_design_scores_gemma":[0.00002626447,0.0001036091,0.00018175,0.00008075142,0.00003624023,0.0003535119,0.00003299877,0.2231162,0.007342228,0.7467909,0.02187073,0.00006477282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007369746,0.003216513,0.9442921,0.001483835,0.0002893358,0.00006764375,0.0001643325,0.0001326752,0.04298383],"genre_scores_gemma":[0.653307,0.01001677,0.3066109,0.001016277,0.0010377,0.0003673802,0.0002612604,0.000232064,0.02715067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003179966,"threshold_uncertainty_score":0.01745719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00901752510502642,"score_gpt":0.2190338459268081,"score_spread":0.2100163208217816,"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."}}