{"id":"W4391116767","doi":"10.1016/j.ceramint.2024.01.252","title":"Thermoelectric properties of aliovalent Zn doped Cu1.8S polycrystalline materials","year":2024,"lang":"en","type":"article","venue":"Ceramics International","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Physical Laboratory; National Research Council Canada; SRM Institute of Science and Technology","keywords":"Materials science; Thermoelectric effect; Crystallite; Seebeck coefficient; Phase (matter); Thermoelectric materials; Doping; Analytical Chemistry (journal); Sintering; Electrical resistivity and conductivity; Thermal conductivity; Metallurgy; Composite material; Optoelectronics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003723288,0.0001887485,0.0002537292,0.0001803881,0.00005155597,0.0002439557,0.0004464196,0.00007381017,0.003376479],"category_scores_gemma":[0.0000530453,0.0001435621,0.00007077061,0.0001833402,0.00008747323,0.0002798333,0.0001082224,0.00007155885,0.0001476666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009870663,"about_ca_system_score_gemma":0.00009365109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006776132,"about_ca_topic_score_gemma":0.000005460267,"domain_scores_codex":[0.9984105,0.00006111716,0.0005193771,0.0003441412,0.000408733,0.0002561121],"domain_scores_gemma":[0.9994077,0.00004579309,0.0001468682,0.0002017151,0.0001537451,0.00004416745],"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":[0.0001094311,0.0000520775,0.000007848538,0.00011664,0.00004432505,0.00001147588,0.0001780547,0.00007490944,0.9746965,0.0228487,0.0001058552,0.001754185],"study_design_scores_gemma":[0.0001826843,0.00005754195,0.00006320889,0.0001449926,0.00001811205,0.00003570076,0.0000257002,0.001663385,0.9903097,0.003267594,0.004054503,0.0001768886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894635,0.001823996,0.002810393,0.0003049519,0.002911126,0.0001994934,0.0001616995,0.0001667642,0.002158045],"genre_scores_gemma":[0.9970072,0.0003340308,0.0005457337,0.0001026221,0.0005242521,0.00002979429,0.00003681731,0.00003577213,0.001383772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0195811,"threshold_uncertainty_score":0.9975346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689757139306248,"score_gpt":0.2574846342242855,"score_spread":0.240587062831223,"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."}}