{"id":"W2601255770","doi":"10.1002/adfm.201606361","title":"Achieving zT &gt; 1 in Inexpensive Zintl Phase Ca<sub>9</sub>Zn<sub>4+</sub><i><sub>x</sub></i>Sb<sub>9</sub> by Phase Boundary Mapping","year":2017,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Materials science; Impurity; Stoichiometry; Thermoelectric materials; Ternary operation; Doping; Thermoelectric effect; Chemical composition; Phase (matter); Semiconductor; Analytical Chemistry (journal); Zintl phase; Thermal conductivity; Chemical physics; Crystallography; Crystal structure; Optoelectronics; Thermodynamics; Physical chemistry; 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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002319781,0.002014224,0.002677158,0.0007273339,0.002699231,0.002008366,0.001583207,0.000798854,0.0006093442],"category_scores_gemma":[0.00155683,0.002070684,0.0004524906,0.000701818,0.0009713169,0.004559119,0.001041986,0.0007262732,0.001581897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008317722,"about_ca_system_score_gemma":0.0006411414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008129323,"about_ca_topic_score_gemma":0.0001187566,"domain_scores_codex":[0.9882728,0.0008653161,0.003180666,0.003075504,0.001760628,0.00284507],"domain_scores_gemma":[0.9921429,0.0007663878,0.003157427,0.002273733,0.0008358927,0.0008236305],"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":[0.003816088,0.0009206989,0.00003670472,0.0004327249,0.0001425998,0.0002789736,0.0002606077,0.0004538947,0.970668,0.0003883944,0.001764187,0.02083712],"study_design_scores_gemma":[0.009482077,0.000825526,0.0008949146,0.0007682488,0.0001565681,0.0002206183,0.0001924005,0.00007078253,0.9768885,0.003906274,0.004317373,0.002276651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783518,0.001383565,0.004849534,0.0004468487,0.009459575,0.002177096,0.002358017,0.0006324884,0.0003411226],"genre_scores_gemma":[0.9910598,0.001784969,0.0008005396,0.001317598,0.002332857,0.001013283,0.001262896,0.0003935744,0.00003442782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01856047,"threshold_uncertainty_score":0.99926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645466871327922,"score_gpt":0.269681596930282,"score_spread":0.2532269282170028,"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."}}