{"id":"W2886224007","doi":"10.3390/e21010092","title":"Remote Sampling with Applications to General Entanglement Simulation","year":2019,"lang":"en","type":"article","venue":"Entropy","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Canadian Institute for Advanced Research","funders":"","keywords":"Quantum entanglement; Bounded function; Dimension (graph theory); Sampling (signal processing); Rejection sampling; Finite set; Sample (material); Order (exchange); Importance sampling","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":[0.00006382423,0.00006364805,0.00005660544,0.00009172385,0.00006072102,0.00009257533,0.0002374047,0.00001435664,0.0000685249],"category_scores_gemma":[0.000001695621,0.00005303822,0.00002615959,0.0003304217,0.000004980001,0.0002363051,0.00004878969,0.00003728488,0.0006030485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002615412,"about_ca_system_score_gemma":0.00001450362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006857017,"about_ca_topic_score_gemma":0.000001398841,"domain_scores_codex":[0.9993882,0.000009394547,0.000124366,0.000146902,0.0001936669,0.0001374481],"domain_scores_gemma":[0.9994937,0.00001755604,0.00004634013,0.0003261001,0.00004812335,0.00006819523],"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":[0.00001328859,0.00002920749,0.002451554,0.000009806158,0.00001561859,3.318223e-7,0.0007608689,0.1309831,0.001738304,0.8229828,0.0002355878,0.04077948],"study_design_scores_gemma":[0.0004924886,0.0001332831,0.004523505,0.00001180402,0.000003635917,0.000002101099,0.00004878569,0.7655289,0.001253095,0.002796404,0.2250112,0.0001947637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06268266,0.000006562125,0.9346855,0.0003877798,0.00007209141,0.000353273,0.00000109035,0.00009879708,0.001712257],"genre_scores_gemma":[0.7462848,0.000001210905,0.2525051,0.001041231,0.00004391342,0.00001318466,0.000006340733,0.000003810281,0.0001004609],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8201864,"threshold_uncertainty_score":0.775117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01584617905524002,"score_gpt":0.2762385553877091,"score_spread":0.2603923763324691,"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."}}