{"id":"W2979601545","doi":"10.1126/science.aax6182","title":"Torsional refrigeration by twisted, coiled, and supercoiled fibers","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Thermal properties of materials","field":"Materials Science","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"Miller Group (Canada)","funders":"Science Fund for Distinguished Young Scholars of Tianjin; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Tianjin City; National Natural Science Foundation of China; Air Force Office of Scientific Research; National Key Research and Development Program of China; Fundação de Amparo à Pesquisa do Estado de São Paulo; National Science Foundation","keywords":"Refrigeration; Polyethylene; Twist; Hydrostatic equilibrium; Natural rubber; Compression (physics); Water cooling; Phase (matter)","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":[0.0001557248,0.0001775404,0.0001177097,0.0002040218,0.0001741586,0.0002321884,0.0002250603,0.00009458547,0.001173089],"category_scores_gemma":[0.0002960412,0.00009312213,0.000117229,0.0001421095,0.000459026,0.0005540546,0.0002695051,0.0001737335,0.0002406408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002254172,"about_ca_system_score_gemma":0.0001193407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003287099,"about_ca_topic_score_gemma":0.0005719831,"domain_scores_codex":[0.9999063,0.00001243629,0.000004818564,0.00001914534,0.00003151966,0.00002593019],"domain_scores_gemma":[0.999855,0.00003191187,0.0000451284,0.00002383444,0.00002622629,0.00001777999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000127575,0.00001698383,0.001528045,0.00009758958,0.000008228184,0.0001058078,0.0001105748,0.001491937,0.9856704,0.002967373,0.0002538376,0.007621618],"study_design_scores_gemma":[0.00001668496,0.0002020109,0.002046162,0.00001069579,0.000007571929,0.0001318309,0.00004493013,0.009089445,0.9837463,0.0003239381,0.004361801,0.00001857753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881094,0.0005953943,0.008671223,0.00007136475,0.00003424082,0.00001405991,0.00008150397,0.00007395121,0.002348792],"genre_scores_gemma":[0.9954847,0.0002091571,0.00303727,0.00001289353,0.0000118922,0.00001024741,0.00004850827,0.00002000165,0.001165343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001173089,"threshold_uncertainty_score":0.00392437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003133605885583797,"score_gpt":0.1951086832206114,"score_spread":0.1919750773350276,"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."}}