{"id":"W2790861264","doi":"10.1103/physrevlett.123.240601","title":"Experimental Characterization of a Spin Quantum Heat Engine","year":2019,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":383,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Air Force Office of Scientific Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Instituto Nacional de Ciência e Tecnologia de Informação Quântica; Ministry of Education - Singapore; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Research Foundation Singapore; Royal Society; Innovation, Science and Economic Development Canada; Canadian Institute for Advanced Research","keywords":"Heat engine; Quantum thermodynamics; Physics; Quantum; Work (physics); Quantum fluctuation; Spin (aerodynamics); Thermodynamics; Quantum mechanics","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":[0.0000318137,0.0001119957,0.0002951716,0.00001132064,0.00001366003,0.000004977464,0.00008413592,0.000003461064,0.0002425946],"category_scores_gemma":[0.000002222879,0.00009577081,0.0001047404,0.00008194631,0.00001556718,0.00006742626,0.00002776739,0.00007296645,0.00007532463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001208732,"about_ca_system_score_gemma":0.000005471895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004673123,"about_ca_topic_score_gemma":7.557192e-9,"domain_scores_codex":[0.9994021,0.0000229692,0.0001708669,0.0001531276,0.0001158849,0.0001350744],"domain_scores_gemma":[0.9996853,0.00002780231,0.00006113316,0.0001656004,0.0000163756,0.0000437759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004014758,0.0001069652,0.00004530286,0.0001356694,0.00001437893,2.332724e-7,0.00001830691,0.00002539666,0.8681496,0.1290594,0.000008127959,0.002432526],"study_design_scores_gemma":[0.002154008,0.000717709,0.003047129,0.004685699,0.0002296382,0.000001677675,0.00006890226,0.6443651,0.3150039,0.02089141,0.007186281,0.001648516],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276717,0.0001543109,0.07124105,0.0003312546,0.0000858498,0.000288679,0.00004925484,0.000009891352,0.0001679513],"genre_scores_gemma":[0.9987286,0.00003593722,0.0002007316,0.0008253871,0.00008209886,0.00002186979,0.00008365025,0.00001474897,0.00000696314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6443397,"threshold_uncertainty_score":0.390542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007261025580500857,"score_gpt":0.2800976403759786,"score_spread":0.2728366147954778,"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."}}