{"id":"W2801121090","doi":"10.1139/tcsme-2016-0003","title":"PERFORMANCE ANALYSIS OF A THERMOELECTRIC POWER GENERATOR UNDER VOLUMETRIC CONSTRAINT","year":2016,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermoelectric generator; Sizing; Power (physics); Materials science; Thermoelectric effect; Energy conversion efficiency; Generator (circuit theory); Junction temperature; Maximum power principle; Figure of merit; Volume (thermodynamics); Seebeck coefficient; Electrical efficiency; Electrical engineering; Optoelectronics; Engineering; Physics; Thermodynamics; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002742343,0.0001169431,0.0002801086,0.0001487733,0.0001256883,0.00001082172,0.0002684273,0.00009719456,0.0004376802],"category_scores_gemma":[0.0000235468,0.00007484022,0.000499256,0.001114755,0.00005486886,0.00008175912,0.000005009036,0.00005210102,0.000001291163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002032544,"about_ca_system_score_gemma":0.000193992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001255615,"about_ca_topic_score_gemma":0.001712559,"domain_scores_codex":[0.9990661,0.00001219275,0.0002891445,0.0001683194,0.0001565302,0.0003077633],"domain_scores_gemma":[0.9992965,0.0001298725,0.0001032887,0.0002534011,0.00009625992,0.0001206396],"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":[0.000009478933,0.00001255275,0.000006344331,0.0000318449,0.0003550122,4.179296e-8,0.00004121375,0.0156593,0.9799343,0.002504532,0.000006438923,0.001438998],"study_design_scores_gemma":[0.0003647891,0.0001199336,0.000429302,0.00003411161,0.000697444,0.000002142611,0.00002916115,0.05572655,0.9420401,0.0001325826,0.0002302204,0.0001936206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6344255,0.00007647615,0.3647681,0.0001122293,0.0002027477,0.0001688562,0.0002063877,0.00002258053,0.00001715528],"genre_scores_gemma":[0.9957284,0.00002316641,0.004082904,0.00004966672,0.00001418403,0.00002663103,9.141528e-7,0.00001623423,0.00005793572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3613029,"threshold_uncertainty_score":0.4792291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008461292756382873,"score_gpt":0.2003667808492328,"score_spread":0.1919054880928499,"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."}}