{"id":"W2911361621","doi":"10.1115/1.4042644","title":"Energy Conversion by Nanomaterial-Based Trapezoidal-Shaped Leg of Thermoelectric Generator Considering Convection Heat Transfer Effect","year":2019,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Materials science; Thermoelectric generator; Thermoelectric effect; Heat transfer; Nanomaterials; Thermoelectric materials; Thermal conduction; Energy conversion efficiency; Thermal energy; Thermal; Mechanics; Thermal conductivity; Thermodynamics; Composite material; Optoelectronics; Nanotechnology; Physics","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":[0.00006250595,0.0001528413,0.0001860449,0.0001165308,0.0001031229,0.0002815234,0.0002641376,0.0002644901,0.0006542148],"category_scores_gemma":[0.000105413,0.00009703941,0.0001626829,0.0001383914,0.0001465564,0.0002325804,0.0001250424,0.00008921311,0.0001227021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831345,"about_ca_system_score_gemma":0.0001083876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002107506,"about_ca_topic_score_gemma":0.0004167763,"domain_scores_codex":[0.9999703,0.000004253142,0.000001221026,0.000006911305,0.00001141981,0.000005920456],"domain_scores_gemma":[0.9999728,0.0000081462,0.000007240006,0.000003968683,0.000005000034,0.000002836915],"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":[0.0001410777,0.00005587978,0.001345115,0.0002410199,0.00003575082,0.0004828317,0.00004185138,0.1501177,0.8277091,0.006072581,0.0004234025,0.01333369],"study_design_scores_gemma":[0.00002242123,0.0002123883,0.002150206,0.00001523051,0.00003236864,0.0002890107,0.00003372997,0.8152732,0.1771683,0.001459973,0.00332372,0.00001955532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9224977,0.001065905,0.06420374,0.0001013374,0.00006027479,0.00002378188,0.000107053,0.0001587069,0.0117815],"genre_scores_gemma":[0.9906203,0.0001451041,0.008523243,0.000009623085,0.000002263604,0.000008979706,0.00002478374,0.000006621744,0.0006592134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006542148,"threshold_uncertainty_score":0.002188563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003274632845015608,"score_gpt":0.1920095097829035,"score_spread":0.1887348769378879,"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."}}