{"id":"W4400038037","doi":"10.1016/j.actamat.2024.120132","title":"High wide-temperature-range thermoelectric performance in GeTe through hetero-nanostructuring","year":2024,"lang":"en","type":"article","venue":"Acta Materialia","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Materials science; Thermoelectric effect; Atmospheric temperature range; Range (aeronautics); Optoelectronics; Thermoelectric materials; Nanotechnology; Engineering physics; Composite material; Thermal conductivity; Thermodynamics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003644589,0.0004190492,0.0004933203,0.0001615348,0.0001480357,0.0007624577,0.0004922675,0.0001949808,0.002304135],"category_scores_gemma":[0.00003485847,0.0003343429,0.00006866388,0.0004584124,0.00007167695,0.001275669,0.0001342771,0.0001787235,0.0004218686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001300208,"about_ca_system_score_gemma":0.00006583109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000281626,"about_ca_topic_score_gemma":0.00001979339,"domain_scores_codex":[0.9974962,0.0001428673,0.000527389,0.000728019,0.0003253653,0.0007800946],"domain_scores_gemma":[0.9992487,0.00005668332,0.0001205866,0.00046477,0.00003721751,0.00007205689],"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":[0.000128652,0.00001736047,0.0001175438,0.0002829465,0.00001084847,0.00007251991,0.0003611024,0.00001483363,0.9973398,0.0009474899,0.0003671193,0.0003397694],"study_design_scores_gemma":[0.0003923454,0.0001308483,0.005195457,0.000228512,0.00001839975,0.00005216826,0.00001381278,0.00005840016,0.982478,0.002973802,0.007992679,0.0004656054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888853,0.0008210865,0.00002280389,0.0002112436,0.008711387,0.0003521592,0.00005558013,0.0004167258,0.0005236554],"genre_scores_gemma":[0.9973205,0.000373739,0.0007269175,0.0002360702,0.0006104614,0.00008476212,0.00002673661,0.0000849139,0.0005358559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01486185,"threshold_uncertainty_score":0.9999108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00839419418586272,"score_gpt":0.2306527115703088,"score_spread":0.2222585173844461,"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."}}