{"id":"W2090916648","doi":"10.1063/1.4901120","title":"Enhancing efficiency and power of quantum-dots resonant tunneling thermoelectrics in three-terminal geometry by cooperative effects","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canadian Institute for Advanced Research","keywords":"Thermoelectric materials; Thermoelectric effect; Quantum tunnelling; Figure of merit; Seebeck coefficient; Phonon; Thermal conductivity; Thermal conduction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001201949,0.0003194456,0.0003336205,0.0001463185,0.0001927133,0.0003537857,0.0004498282,0.0002931936,0.0005891895],"category_scores_gemma":[0.0001555079,0.0001527175,0.0002552411,0.0002050913,0.0003475999,0.0003431861,0.0004439792,0.000294182,0.0002411447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002380294,"about_ca_system_score_gemma":0.0001340595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002845258,"about_ca_topic_score_gemma":0.0004520057,"domain_scores_codex":[0.999922,0.000008602698,0.000004586302,0.00001870438,0.00002463897,0.00002147783],"domain_scores_gemma":[0.9998838,0.00002562473,0.0000259996,0.0000219854,0.0000189304,0.00002364865],"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":[0.00007059793,0.00002963133,0.0003132874,0.00004905001,0.000007352742,0.00008209217,0.00004858135,0.002814837,0.9914757,0.002800894,0.00004582479,0.002262324],"study_design_scores_gemma":[0.00002027666,0.0001900153,0.0009223967,0.000006690811,0.00002155643,0.0001425439,0.00002389486,0.06713665,0.9301494,0.0005997259,0.0007664319,0.00002047334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988432,0.0001195939,0.01005932,0.0000287737,0.000008382598,0.000005720934,0.00001886347,0.00007193079,0.001255443],"genre_scores_gemma":[0.996546,0.00004685787,0.003178315,0.000004565524,0.000001672439,0.000005086565,0.000007359607,0.000007910984,0.0002023356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005891895,"threshold_uncertainty_score":0.001971066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005375928204172744,"score_gpt":0.230224895346534,"score_spread":0.2248489671423613,"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."}}