{"id":"W2036640877","doi":"10.1109/ecce.2012.6342835","title":"Time dependent finite volume model of thermoelectric devices","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Thermoelectric effect; Heat sink; Finite volume method; Thermal conduction; Thermoelectric cooling; Thermoelectric generator; Materials science; Discretization; Thermoelectric materials; Mechanical engineering; Mechanics; Partial differential equation; Thermodynamics; Engineering; Physics; Mathematics; Composite material; Mathematical analysis","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":[0.0004475129,0.000782272,0.001207877,0.0005779749,0.0006260536,0.001771014,0.002829627,0.003049304,0.007538467],"category_scores_gemma":[0.00136837,0.0005151324,0.0008681634,0.0008058333,0.001648751,0.001406284,0.0007736923,0.001620696,0.001377926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330366,"about_ca_system_score_gemma":0.001129063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005070088,"about_ca_topic_score_gemma":0.002321109,"domain_scores_codex":[0.9996505,0.00008339195,0.00001307916,0.00005346774,0.0001477734,0.00005176906],"domain_scores_gemma":[0.9995494,0.000205828,0.00004257952,0.00004947184,0.0001095136,0.00004313809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002818874,0.00003435731,0.0001149084,0.00006140861,0.00001322466,0.0001190949,0.0000560998,0.8865438,0.004146408,0.105583,0.0008966086,0.00240291],"study_design_scores_gemma":[0.000008124022,0.000007781973,0.00002956016,0.000005667686,0.000003131773,0.00002171561,0.00000564425,0.9902847,0.0002910789,0.007816453,0.00151932,0.000006824367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05358398,0.00390561,0.8096091,0.00203001,0.000861661,0.0002137185,0.001111243,0.0006513075,0.1280334],"genre_scores_gemma":[0.79193,0.003289683,0.06127421,0.0008279116,0.0003207591,0.001019654,0.0009229357,0.0004307712,0.1399841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007538467,"threshold_uncertainty_score":0.02521867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486957968298971,"score_gpt":0.2355139877291527,"score_spread":0.220644408046163,"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."}}