{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004918601,0.0000918291,0.0001707092,0.00001024185,0.0001031786,0.00003644681,0.0001354704,0.000006764385,0.00002034276],"category_scores_gemma":[0.00002509941,0.0000860111,0.00007041411,0.00003384659,0.00002320424,0.0001888458,0.000007387497,0.0001070858,0.0001587321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002024076,"about_ca_system_score_gemma":0.000003189383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002189747,"about_ca_topic_score_gemma":3.577091e-7,"domain_scores_codex":[0.9995573,0.00001073707,0.0001109756,0.00009641593,0.00009185806,0.0001327735],"domain_scores_gemma":[0.9996515,0.00002537231,0.00001327055,0.0002500319,0.00001345497,0.0000463748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006461671,0.00007452764,0.0002298681,0.004254369,0.0001378701,0.00001856704,0.0005176811,0.7748283,0.07194302,0.0007869721,0.01147974,0.1357227],"study_design_scores_gemma":[0.0002862836,0.000009832412,0.002894444,0.001366836,0.00008270852,0.000001505327,9.982355e-7,0.9886269,0.002780303,0.00007339825,0.003572704,0.0003041167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06200913,0.002465733,0.9275181,0.001761691,0.0005373772,0.0004340316,0.000006069252,0.0003012431,0.004966608],"genre_scores_gemma":[0.9937994,0.003829445,0.0004059291,0.001694066,0.0002125465,0.000024366,0.00001019197,0.00001931415,0.000004679289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9317904,"threshold_uncertainty_score":0.3507431,"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."}}