{"id":"W2062518759","doi":"10.1007/s11664-008-0623-0","title":"New Ternary Arsenides for High-Temperature Thermoelectric Applications","year":2009,"lang":"en","type":"article","venue":"Journal of Electronic Materials","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Clemson University; Office of Experimental Program to Stimulate Competitive Research; U.S. Department of Energy","keywords":"Isostructural; Seebeck coefficient; Ternary operation; Thermoelectric effect; Thermoelectric materials; Materials science; Rietveld refinement; Crystallography; Chemistry; Thermodynamics; Crystal structure; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008148968,0.0002831297,0.0006594842,0.0001736237,0.0001599448,0.0002339259,0.0005738274,0.0001468765,0.001097514],"category_scores_gemma":[0.00006996778,0.0002127723,0.0001146687,0.0002678306,0.00002241035,0.0003869473,0.00001918232,0.0001418045,0.00003057962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001416985,"about_ca_system_score_gemma":0.0005197699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001456304,"about_ca_topic_score_gemma":0.000002372294,"domain_scores_codex":[0.9976776,0.0001063131,0.0009276953,0.0002799106,0.0003162401,0.0006922824],"domain_scores_gemma":[0.9981837,0.0001244594,0.0009928,0.0002872033,0.0002598223,0.0001520433],"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":[0.0004949484,0.00006536452,0.000001046694,0.0000249547,0.00002490625,0.000004756409,0.00002567463,0.00003096597,0.9689987,0.02306304,0.001805849,0.005459781],"study_design_scores_gemma":[0.0008308903,0.001198824,0.0001021732,0.00003226081,0.00006449618,0.0001829722,0.000007833855,0.00000120641,0.893064,0.0943961,0.009899114,0.0002201077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786224,0.002490731,0.01655925,0.0007400113,0.0006371656,0.0007076021,0.00004108755,0.00007268102,0.0001290897],"genre_scores_gemma":[0.9904649,0.0003306024,0.005911268,0.0004290862,0.002184823,0.00003042005,0.00001168728,0.00003370018,0.0006035286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07593469,"threshold_uncertainty_score":0.9998156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004600868199228171,"score_gpt":0.2460481823443998,"score_spread":0.2414473141451717,"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."}}