{"id":"W3175149855","doi":"10.1063/5.0043008","title":"Elastic modulus and internal friction of thermoelectric composites: Enthalpy–entropy compensation","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Enthalpy; Thermodynamics; Thermoelectric effect; Composite material; Crystallite; Bismuth telluride; Thermoelectric materials; Arrhenius equation; Condensed matter physics; Activation energy; Chemistry; Metallurgy; Physics; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001528577,0.0002554237,0.000225147,0.0003379403,0.0002059035,0.0002006405,0.0002256413,0.0002294292,0.0006682226],"category_scores_gemma":[0.0003582474,0.0001889464,0.0001261141,0.0003097901,0.0003683801,0.0002007094,0.0001926152,0.0002846154,0.0001356077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418344,"about_ca_system_score_gemma":0.00006799111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003682634,"about_ca_topic_score_gemma":0.0006910389,"domain_scores_codex":[0.9998446,0.00001654837,0.000006698597,0.00003766849,0.0000688682,0.00002568836],"domain_scores_gemma":[0.9997115,0.00007973555,0.00009639873,0.00002890291,0.00005077367,0.00003268233],"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":[0.0001142797,0.000008946618,0.0009113505,0.00001542474,0.000004879822,0.00003350315,0.00004910463,0.0002078869,0.9977579,0.00005151847,0.000005934256,0.0008393105],"study_design_scores_gemma":[0.000007997221,0.0002085912,0.02794859,0.000003619708,0.00001193806,0.0001773587,0.00006094706,0.004544243,0.9666786,0.0000534045,0.0002921726,0.0000125021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998607,0.0001457996,0.000951865,0.00000631999,0.000002148335,0.000001918056,0.00002871328,0.00001373019,0.0002426537],"genre_scores_gemma":[0.9994504,0.00003662644,0.0002899879,0.000001627969,6.781722e-7,0.000002008664,0.00003284009,0.000004741388,0.0001809581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006682226,"threshold_uncertainty_score":0.002235472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008103565989469458,"score_gpt":0.2254498518306478,"score_spread":0.2173462858411783,"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."}}