{"id":"W4285802132","doi":"10.1002/cjce.24561","title":"Thermoelectric performance of Ni, Co, and Fe nanoparticles incorporated into their metal borates glassy matrices","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jordan University of Science and Technology","keywords":"Materials science; Thermoelectric effect; Boron; Seebeck coefficient; Nanoparticle; Amorphous solid; Thermal conductivity; Thermoelectric materials; Electrical resistivity and conductivity; Analytical Chemistry (journal); Metal; Chemical engineering; Nanotechnology; Metallurgy; Crystallography; Composite material; Chemistry; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008602066,0.0002123949,0.000117132,0.0001546698,0.0001099097,0.000212292,0.0001108839,0.0001719151,0.0005099866],"category_scores_gemma":[0.00009131061,0.0001458107,0.0001187269,0.0001028396,0.0001500244,0.0001466258,0.0001487438,0.0001918938,0.0001699524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001668616,"about_ca_system_score_gemma":0.00009219728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008123364,"about_ca_topic_score_gemma":0.00244402,"domain_scores_codex":[0.9999467,0.000006156319,0.000004016206,0.00001236696,0.00001709999,0.0000137134],"domain_scores_gemma":[0.9999499,0.00001010705,0.00001458037,0.000004935495,0.00001034876,0.00001005354],"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":[0.00003558853,0.000003921368,0.0001288317,0.00001707043,0.000003204913,0.00001651439,0.00001301823,0.00007883214,0.9993137,0.0000348266,0.00001003817,0.0003443504],"study_design_scores_gemma":[0.000002725051,0.00007951297,0.0008700674,0.000002656751,0.000006943824,0.00002108102,0.00001470669,0.0006120477,0.9980232,0.000007615542,0.0003574738,0.000002092643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998185,0.000346649,0.000674709,0.00001868332,0.00001068967,0.000004283796,0.00002611272,0.000025003,0.0007088082],"genre_scores_gemma":[0.9980804,0.0001899638,0.0008022148,0.000007169495,0.00000207681,0.000004788007,0.00003500131,0.00001175045,0.0008666544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008123364,"threshold_uncertainty_score":0.001706064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005955717106462193,"score_gpt":0.1845686722718291,"score_spread":0.1786129551653669,"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."}}