{"id":"W2731948661","doi":"10.1016/j.apenergy.2017.06.108","title":"Dynamic performance analysis of a cascaded thermoelectric generator","year":2017,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"National Natural Science Foundation of China","keywords":"Thermoelectric generator; Thermoelectric effect; Computer science; Adaptability; Generator (circuit theory); Electricity; Efficient energy use; System dynamics; Waste heat; Process engineering; Power (physics); Automotive engineering; Mechanical engineering; Engineering; Electrical engineering","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":[0.0001327726,0.0003197707,0.0004319581,0.0003190168,0.000279109,0.0003297884,0.0006596982,0.0004044011,0.00435638],"category_scores_gemma":[0.0002282946,0.0001927848,0.0002942202,0.0002239461,0.0002504168,0.0003473723,0.0002194274,0.0002840339,0.0005909912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000371854,"about_ca_system_score_gemma":0.000226524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009129655,"about_ca_topic_score_gemma":0.0009297919,"domain_scores_codex":[0.9998569,0.00001320894,0.000005095382,0.00003863079,0.00005412089,0.00003195057],"domain_scores_gemma":[0.9998394,0.00007547787,0.00001824806,0.00001848645,0.00003245841,0.00001592968],"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":[0.002017008,0.0001678351,0.002013909,0.0002330795,0.00007166147,0.000419957,0.0001129104,0.0515007,0.9068594,0.001221232,0.000850455,0.03453185],"study_design_scores_gemma":[0.00006654397,0.001603271,0.009304541,0.00001441851,0.00005625137,0.0002621742,0.00005271231,0.5633997,0.4223378,0.0003613053,0.002510066,0.00003122011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691851,0.0004164095,0.01989476,0.0001515935,0.0000440126,0.00004724736,0.0002111781,0.0004879397,0.00956185],"genre_scores_gemma":[0.9983804,0.00002472301,0.0003785352,0.000007499958,0.000003390602,0.000005026578,0.00003562133,0.00001166685,0.001153158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00435638,"threshold_uncertainty_score":0.01457357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008102837642706565,"score_gpt":0.2343400397999894,"score_spread":0.2262372021572829,"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."}}