{"id":"W4283214396","doi":"10.1002/ese3.1222","title":"Development and heat transfer analysis of thermoelectric self‐powered fuel‐fired residential boiler","year":2022,"lang":"en","type":"article","venue":"Energy Science & Engineering","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Department of Science and Technology of Sichuan Province; Chongqing University; National Natural Science Foundation of China","keywords":"Thermoelectric generator; Boiler (water heating); Thermoelectric effect; Combustion; Heat transfer; Fuel efficiency; Electricity; Process engineering; Mechanical engineering; Electricity generation; Automotive engineering; Engineering; Heating system; Nuclear engineering; Electrical engineering; Power (physics); Waste management; Thermodynamics","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":[0.0002534189,0.0002041093,0.000234091,0.0002789813,0.0001824866,0.000212544,0.0003182658,0.0002079549,0.0009044821],"category_scores_gemma":[0.0002012057,0.0001878589,0.0002611241,0.00015387,0.000142844,0.0002666001,0.0001356833,0.000170672,0.000196748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003196897,"about_ca_system_score_gemma":0.0001762359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001518582,"about_ca_topic_score_gemma":0.001717063,"domain_scores_codex":[0.9998784,0.00001618566,0.000004793349,0.000023801,0.0000624715,0.00001442265],"domain_scores_gemma":[0.9998703,0.00002901835,0.00001419495,0.00001258075,0.00006567609,0.000008233657],"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":[0.0001770011,0.00008964782,0.003324193,0.0001331459,0.0000197171,0.000114173,0.00009430818,0.01474394,0.9696571,0.0002760821,0.0001647967,0.01120595],"study_design_scores_gemma":[0.00001901424,0.000502113,0.0138895,0.000005581696,0.00002225635,0.00006614772,0.00006569401,0.1704194,0.8138677,0.00005480263,0.00107557,0.00001227332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988394,0.0001057314,0.01041477,0.00001320905,0.000009442718,0.00001394299,0.0000416295,0.00008369428,0.000923527],"genre_scores_gemma":[0.997324,0.00003617383,0.0017248,0.000001956076,8.697933e-7,0.000008650413,0.0000307138,0.000007900589,0.0008648813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001518582,"threshold_uncertainty_score":0.00302577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004994816078528745,"score_gpt":0.1942111732569103,"score_spread":0.1892163571783816,"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."}}