{"id":"W4388477796","doi":"10.20944/preprints202311.0427.v1","title":"The Layered Oxyselenide BiCuSeO Has Garnered Significant Interest Because of Its Ability to Exhibit Low Thermal Conductivity and a High Seebeck Coefficient. This Study Involved the Preparation of Bi1−xNaxCuSeO1−xFx(x=0, 0.05, 0.10, 0.15, and 0.20) Ceramic","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Nanjing University; National Natural Science Foundation of China","keywords":"Seebeck coefficient; Thermal conductivity; Thermoelectric effect; Materials science; Electrical resistivity and conductivity; Thermoelectric materials; Ceramic; Power factor; Doping; Analytical Chemistry (journal); Condensed matter physics; Composite material; Thermodynamics; Chemistry; Electrical engineering; Power (physics); Physics; Optoelectronics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009228894,0.0001901521,0.0001382199,0.0002586256,0.0001764927,0.0002616953,0.0001395406,0.0001891021,0.0005891774],"category_scores_gemma":[0.0001215997,0.0001180253,0.0001248621,0.0001827539,0.0001578069,0.0001718766,0.0002319227,0.0001993252,0.0001436712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383317,"about_ca_system_score_gemma":0.000159728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004438626,"about_ca_topic_score_gemma":0.002185342,"domain_scores_codex":[0.9999545,0.000002886713,0.000004010018,0.00001037539,0.0000179057,0.00001035287],"domain_scores_gemma":[0.9999329,0.000007883831,0.00002026081,0.00000539193,0.00001929719,0.00001425662],"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":[0.00002250637,0.000004904766,0.0005162944,0.0000619451,0.00000423096,0.00004762681,0.00001536334,0.00004889273,0.9971797,0.0002111788,0.00002273493,0.001864517],"study_design_scores_gemma":[0.00000476385,0.000143539,0.005181368,0.000008579437,0.00001327863,0.0001894983,0.00004294532,0.0003944928,0.9906515,0.00004902883,0.003313929,0.000007169906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965754,0.0005627912,0.001361602,0.00003044837,0.00001420923,0.000008599231,0.00007624149,0.0000191349,0.001351431],"genre_scores_gemma":[0.992928,0.0006367319,0.003802279,0.00002183831,0.000005537984,0.00001518762,0.0002237324,0.00001421511,0.002352495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005891774,"threshold_uncertainty_score":0.001971066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1455646646154119,"score_gpt":0.34821022151152,"score_spread":0.2026455568961081,"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."}}