{"id":"W2265237373","doi":"10.1002/ejic.201501063","title":"Thermoelectric Properties of Ni<sub>0.05</sub>Mo<sub>3</sub>Sb<sub>5.4</sub>Te<sub>1.6</sub> with Embedded SiC and Al<sub>2</sub>O<sub>3</sub> Nanoparticles","year":2016,"lang":"en","type":"article","venue":"European Journal of Inorganic Chemistry","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute for Materials Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Spark plasma sintering; Thermoelectric effect; Figure of merit; Thermal conductivity; Volume fraction; Analytical Chemistry (journal); Hot pressing; Seebeck coefficient; Nanoparticle; Sintering; Chemistry; Materials science; Metallurgy; Composite material; Nanotechnology; Optoelectronics; Thermodynamics; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003303315,0.002233709,0.002710517,0.0005128177,0.0009271975,0.0007741452,0.002331472,0.00052841,0.0001085876],"category_scores_gemma":[0.00108542,0.001670901,0.0006351321,0.001752796,0.00137385,0.001808331,0.00090974,0.001403768,0.0004548614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006359128,"about_ca_system_score_gemma":0.001081698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007477694,"about_ca_topic_score_gemma":0.00002664276,"domain_scores_codex":[0.987114,0.001380591,0.003963525,0.002301025,0.002400865,0.002840058],"domain_scores_gemma":[0.9902728,0.0005085497,0.00446532,0.001843389,0.001503313,0.001406601],"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":[0.002033623,0.0006738775,0.0001711059,0.000822635,0.0004155596,0.0007279528,0.000952415,0.00004728735,0.9592401,0.0000205005,0.001102329,0.03379266],"study_design_scores_gemma":[0.004988829,0.001378832,0.001286811,0.002011128,0.0005538806,0.002371223,0.0004761494,0.00005278942,0.9841676,0.0003327073,0.0001529806,0.002227019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921331,0.004279425,0.0004541725,0.0004601405,0.0008472478,0.0009286878,0.000152815,0.000430668,0.0003136974],"genre_scores_gemma":[0.9921207,0.004869699,0.0001501709,0.0005964329,0.001505463,0.00004758177,0.00002587177,0.0006630734,0.00002099851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03156564,"threshold_uncertainty_score":0.9990402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007702336463948365,"score_gpt":0.1844839396432583,"score_spread":0.1767816031793099,"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."}}