{"id":"W2073001542","doi":"10.1063/1.3694742","title":"Improvements of the thermoelectric properties of PbTe via simultaneous doping with indium and iodine","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; U.S. Department of Energy","keywords":"Seebeck coefficient; Electrical resistivity and conductivity; Thermoelectric effect; Doping; Materials science; Indium; Dimensionless quantity; Iodine; Thermal conductivity; Analytical Chemistry (journal); Thermoelectric materials; Figure of merit; Conductivity; Condensed matter physics; Chemistry; Thermodynamics; Metallurgy; Composite material; Optoelectronics; Physical chemistry; Physics; Environmental chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002253202,0.0001117417,0.0002899215,0.00002520595,0.00005459919,0.00001429698,0.0001796735,0.0000278154,0.00001187929],"category_scores_gemma":[0.000008751469,0.00005637098,0.00003240913,0.0001404303,0.00009264913,0.0001410308,0.00004909755,0.00008019897,8.793902e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001677669,"about_ca_system_score_gemma":0.00004252653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007449753,"about_ca_topic_score_gemma":4.112852e-7,"domain_scores_codex":[0.9990995,0.0000221211,0.0003423586,0.00006971647,0.0002800325,0.0001862868],"domain_scores_gemma":[0.9987642,0.00004484604,0.0009110611,0.0001255648,0.0001142651,0.00004004675],"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":[0.0003378173,0.00008403212,0.000116419,0.0001053273,0.00002588276,3.100903e-7,0.0005793291,0.000975548,0.9932367,0.0002844421,0.000001201121,0.004253021],"study_design_scores_gemma":[0.0004266895,0.0001739587,0.0002295257,0.00005778664,0.00004543946,0.000011401,0.00005942717,0.0002180332,0.9977627,0.0009129554,0.00002718266,0.00007484589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981119,0.0003823366,0.001046754,0.000006054913,0.0001037089,0.0001574835,0.000002596133,0.000003796396,0.0001853697],"genre_scores_gemma":[0.999166,0.00003265078,0.0005737506,0.00003661558,0.0001693629,0.000002455878,1.201861e-7,0.00001237877,0.000006715217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004526084,"threshold_uncertainty_score":0.2298742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008816500656268383,"score_gpt":0.2015543708534699,"score_spread":0.1927378701972015,"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."}}