{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001010115,0.0002915407,0.0001921335,0.0002194577,0.0001953997,0.0004841056,0.0002999342,0.0003693973,0.002000413],"category_scores_gemma":[0.0002387972,0.0001891649,0.0001147377,0.0002101913,0.0003180577,0.0003764069,0.0002626329,0.0003335388,0.0005918423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005725449,"about_ca_system_score_gemma":0.0001933315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087589,"about_ca_topic_score_gemma":0.003077304,"domain_scores_codex":[0.9998978,0.00000604565,0.000004102935,0.00002114615,0.00004408927,0.00002679055],"domain_scores_gemma":[0.9998935,0.00001566627,0.00004282558,0.000007425896,0.00002482981,0.00001570898],"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":[0.00009628508,0.000009986656,0.0002032823,0.00005879102,0.000003565759,0.00003896292,0.00001784427,0.0001934787,0.9966169,0.0004391814,0.000190423,0.002131358],"study_design_scores_gemma":[0.00002067726,0.00009736636,0.001096014,0.000005988521,0.000007887664,0.0000397495,0.00001366499,0.001313733,0.9946654,0.00009087078,0.002643442,0.000005231167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862663,0.0007384259,0.004862583,0.0001706198,0.00003673631,0.00002257754,0.0003936554,0.0003351017,0.007174024],"genre_scores_gemma":[0.9929706,0.0003030941,0.004207556,0.00003332251,0.000006774877,0.00002139403,0.000171672,0.00007159467,0.002213957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002000413,"threshold_uncertainty_score":0.006692052,"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."}}