{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003997481,0.0006617939,0.001138282,0.0001696314,0.0004797445,0.0002396154,0.001223656,0.0002987117,0.0005571311],"category_scores_gemma":[0.001564116,0.0004317647,0.0001446261,0.000401124,0.0008945033,0.0002322905,0.003195743,0.0004914702,0.0001254409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128442,"about_ca_system_score_gemma":0.0002938254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001866139,"about_ca_topic_score_gemma":0.001759443,"domain_scores_codex":[0.9940009,0.001468592,0.001510406,0.001718864,0.0006929238,0.0006083371],"domain_scores_gemma":[0.9944293,0.001109571,0.001427622,0.002158186,0.0006839754,0.0001913562],"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":[0.001211173,0.0005572911,0.01471961,0.0005089458,0.0001397995,0.000005318693,0.006459127,0.002704521,0.9733633,0.0001398395,0.00005025519,0.0001408178],"study_design_scores_gemma":[0.0009174389,0.000396863,0.1223443,0.0002659014,0.0001587315,0.000003131865,0.0009652366,0.0008948698,0.8723929,0.001011639,0.0001327766,0.0005162173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935198,0.0001929263,0.00006553649,0.0006274082,0.0007102142,0.004365437,0.0002859129,0.000187002,0.00004572983],"genre_scores_gemma":[0.9985577,0.0001362477,0.00005605278,0.00003747454,0.00009725818,0.000507071,0.00002564475,0.0000739743,0.0005085095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1076247,"threshold_uncertainty_score":0.9998134,"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."}}