{"id":"W4254050615","doi":"10.1016/b978-0-12-803581-8.10418-7","title":"Thermoelectric Nanomaterials","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Energy transformation; Thermoelectric effect; Materials science; Thermoelectric materials; Thermal conductivity; Figure of merit; Energy conversion efficiency; Nanomaterials; Electricity; Electricity generation; Nanotechnology; Thermoelectric generator; Engineering physics; Seebeck coefficient; Temperature gradient; Power (physics); Optoelectronics; Electrical engineering; Engineering; Physics; Thermodynamics; Composite material","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":[0.0001200632,0.0009586525,0.0005625319,0.0009394425,0.0005977221,0.001439933,0.0006781426,0.0007643094,0.06777293],"category_scores_gemma":[0.0002051248,0.0004596443,0.0003353755,0.000949859,0.0003849047,0.002101278,0.001233265,0.001524243,0.03560714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006776067,"about_ca_system_score_gemma":0.0003701741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004110527,"about_ca_topic_score_gemma":0.001210275,"domain_scores_codex":[0.9998778,0.000004869899,0.000003994029,0.00003044126,0.00006918767,0.00001366805],"domain_scores_gemma":[0.9999603,0.000009326525,0.000002857922,0.000008552439,0.0000133797,0.000005569957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004623887,0.00009016056,0.00009984586,0.001234874,0.00001667615,0.0002394349,0.0002590337,0.0008061584,0.07285723,0.09738974,0.1784013,0.6485593],"study_design_scores_gemma":[0.000004342631,0.00001753338,0.000228337,0.0001747316,0.00000774326,0.0003126595,0.00003913556,0.0006318684,0.01847218,0.01453724,0.9655637,0.00001055809],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004153267,0.03367938,0.01426944,0.0009055885,0.002594775,0.00004843063,0.0004210341,0.0007796773,0.9431484],"genre_scores_gemma":[0.009523544,0.0133233,0.004035013,0.0002851011,0.0002552466,0.0000534336,0.0003695166,0.0002505549,0.9719043],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06777293,"threshold_uncertainty_score":0.226723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229554700237404,"score_gpt":0.2355316170797015,"score_spread":0.2232360700773274,"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."}}