{"id":"W2000716806","doi":"10.1115/mnhmt2012-75071","title":"Comparison of Spectral Energy Density Methods for Predicting Phonon Properties","year":2012,"lang":"en","type":"article","venue":"","topic":"Thermal properties of materials","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Air Force Office of Scientific Research","keywords":"Phonon; Molecular dynamics; Thermal conductivity; Dielectric; Silicon; Spectral density; Argon; Lattice (music); Physics; Statistical physics; Materials science; Condensed matter physics; Atomic physics; Thermodynamics; Quantum mechanics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001394896,0.0001373232,0.0003884301,0.00002867701,0.00009947595,0.00003848932,0.000235675,0.00006822916,0.0007984132],"category_scores_gemma":[0.0002138483,0.0000951561,0.00006543305,0.00002748009,0.0001052716,0.0003564967,0.0001319773,0.00003081639,0.0000321438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003509277,"about_ca_system_score_gemma":0.00002324606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004207955,"about_ca_topic_score_gemma":0.000007848887,"domain_scores_codex":[0.9986262,0.0002309546,0.0004331693,0.0001702697,0.000126549,0.0004128828],"domain_scores_gemma":[0.9993065,0.0001052255,0.0001867745,0.0002326935,0.00008675361,0.00008205964],"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":[0.0002130468,0.00010032,0.003881134,0.00007706593,0.00000948477,2.544366e-8,0.0007729122,0.00002027491,0.9918014,0.0009935908,0.0001854658,0.001945289],"study_design_scores_gemma":[0.000195004,0.0001030418,0.001132629,0.00002139764,0.00002238717,0.000002496326,0.0002947521,0.0003803503,0.996807,0.00008456063,0.0008235663,0.0001328567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613191,0.0004763592,0.03576739,0.0000425526,0.001014906,0.0002011011,0.000005721137,0.0001213909,0.001051431],"genre_scores_gemma":[0.8914645,0.000001757088,0.1078513,0.00004745611,0.0002690166,0.00002947296,0.000001573524,0.0000193405,0.0003155262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07208394,"threshold_uncertainty_score":0.8742065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09558721069207103,"score_gpt":0.3646627601347139,"score_spread":0.2690755494426429,"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."}}