{"id":"W4388693724","doi":"10.1103/physrevlett.131.207001","title":"Effect of Inevitable Heat Leap on the Conversion Efficiency of Thermoelectric Generators","year":2023,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China; Natural Science Foundation of Guangzhou City","keywords":"Thermoelectric generator; Materials science; Energy conversion efficiency; Thermoelectric effect; Thermoelectric materials; Thermodynamics; Composite material; Thermal conductivity; Optoelectronics; Physics","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":[0.001318631,0.0004157868,0.0007733362,0.0003592298,0.0002909775,0.0009069186,0.0005474059,0.0005619086,0.001277701],"category_scores_gemma":[0.003764532,0.0003725182,0.0002844374,0.0005086542,0.000699035,0.001136549,0.0007147667,0.001066324,0.0003840639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003842368,"about_ca_system_score_gemma":0.0001373723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001761549,"about_ca_topic_score_gemma":0.0001995291,"domain_scores_codex":[0.9988914,0.0001899339,0.00008090224,0.0002341739,0.0004047076,0.0001989111],"domain_scores_gemma":[0.9961002,0.003025514,0.0002194995,0.0003419877,0.0002644417,0.00004827052],"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":[0.001444147,0.0001510882,0.003490023,0.0004460771,0.00009528021,0.001154302,0.0003182177,0.01942288,0.9374142,0.002064117,0.0002957993,0.03370381],"study_design_scores_gemma":[0.000007211551,0.0001266808,0.00127716,0.00001030459,0.00001761891,0.00009518426,0.00002814691,0.01233102,0.9853419,0.0001772152,0.0005745776,0.00001307093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817938,0.002038263,0.0118129,0.0001725609,0.00005874937,0.00002169361,0.000102351,0.0002335707,0.003766102],"genre_scores_gemma":[0.998774,0.0002175773,0.0006481205,0.00001810344,0.000006075124,0.000006817618,0.00002081297,0.00003917507,0.0002692616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001318631,"threshold_uncertainty_score":0.006973684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009663167628576634,"score_gpt":0.2759887992896347,"score_spread":0.2663256316610581,"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."}}