{"id":"W2596369217","doi":"10.1103/physrevlett.119.050502","title":"Correlation-Enhanced Algorithmic Cooling","year":2017,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Army Research Laboratory; Industry Canada; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; Canadian Institute for Advanced Research","keywords":"Correlation; Statistical physics; Computer science; Physics; Mathematics; Geometry","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":[0.000570807,0.000333214,0.0003663073,0.0003090983,0.0005406293,0.0005632738,0.001009209,0.0005270768,0.003722535],"category_scores_gemma":[0.001744819,0.0001508768,0.0003027046,0.0003014464,0.001277947,0.001002858,0.001551429,0.0009548099,0.000416356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00038111,"about_ca_system_score_gemma":0.0007578532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002779143,"about_ca_topic_score_gemma":0.0004294164,"domain_scores_codex":[0.9996082,0.0001190747,0.00001188308,0.00005354191,0.0001374895,0.00006971777],"domain_scores_gemma":[0.9994792,0.0002084347,0.00005901224,0.0001527012,0.00006688622,0.00003385264],"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":[0.0001510894,0.000090769,0.0005027916,0.0001422991,0.00004761781,0.0001039813,0.0001353378,0.1904669,0.04647462,0.7214949,0.002975719,0.03741403],"study_design_scores_gemma":[0.00004179228,0.0001090142,0.0002294307,0.00001802024,0.00001502537,0.00007744886,0.0000180033,0.8716119,0.01704973,0.1045755,0.006228436,0.0000256833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07386944,0.0003536014,0.9006624,0.0004950124,0.0001718714,0.00008144289,0.00006537595,0.0004852131,0.02381563],"genre_scores_gemma":[0.8689555,0.0002096817,0.1255229,0.0002410452,0.0000969227,0.0001787334,0.00007496123,0.000120966,0.004599286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003722535,"threshold_uncertainty_score":0.01245314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270490068908046,"score_gpt":0.265571274066319,"score_spread":0.2528663733772386,"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."}}