{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007094162,0.0001655183,0.00031641,0.0006437501,0.0003111759,0.00007501733,0.000418973,0.00002494596,0.0004908534],"category_scores_gemma":[0.00001964501,0.0001563989,0.00005346972,0.002430227,0.00006921731,0.0002725574,0.0001472896,0.00006111356,0.000001192165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192597,"about_ca_system_score_gemma":0.0001463122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001388467,"about_ca_topic_score_gemma":0.0000225931,"domain_scores_codex":[0.9981177,0.00003599797,0.0003510454,0.0004374885,0.0006193962,0.0004383852],"domain_scores_gemma":[0.9995399,0.0000445068,0.00003512831,0.0002283443,0.00004802784,0.0001041062],"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":[0.00002015131,0.00002548678,0.00002263369,0.00000414556,0.00003908425,0.00000443507,0.0008967601,0.04135272,0.935903,0.02143436,9.849159e-7,0.000296308],"study_design_scores_gemma":[0.0002083636,0.00007122794,0.002828165,0.000004682579,0.00009269399,0.000008234785,0.00008182364,0.01102315,0.9757875,0.00003480967,0.009591589,0.0002678224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903398,0.0007164277,0.008280627,0.00001128136,0.0002841916,0.00005619216,0.000007288669,0.0001050305,0.0001991251],"genre_scores_gemma":[0.9970585,0.00003432092,0.002757724,0.00002867064,0.00002523991,0.00004233588,0.000004191191,0.0000147323,0.00003425051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03988451,"threshold_uncertainty_score":0.6377763,"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."}}