{"id":"W2091342349","doi":"10.1115/1.3211853","title":"Thermal Properties for Bulk Silicon Based on the Determination of Relaxation Times Using Molecular Dynamics","year":2009,"lang":"en","type":"article","venue":"Journal of Heat Transfer","topic":"Thermal properties of materials","field":"Materials Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Anharmonicity; Relaxation (psychology); Phonon; Dispersion relation; Equipartition theorem; Boltzmann equation; Normal mode; Thermal conductivity; Condensed matter physics; Silicon; Dispersion (optics); Thermodynamics; Materials science; Statistical physics; Chemistry; Physics; Vibration; Quantum mechanics; Magnetic field","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":[0.0008571216,0.0001161977,0.000226333,0.00006480146,0.00007930792,0.00005073864,0.0002142964,0.00006383791,0.0001354526],"category_scores_gemma":[0.00009329748,0.00006537462,0.0001221677,0.00003460796,0.00006122596,0.000237077,0.000003895397,0.00006985408,0.000002709292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009016618,"about_ca_system_score_gemma":0.00009470696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008474629,"about_ca_topic_score_gemma":7.513254e-7,"domain_scores_codex":[0.9988229,0.0001553045,0.0004788752,0.00009119578,0.0003049921,0.000146757],"domain_scores_gemma":[0.9994643,0.00007404762,0.0000695701,0.0001416642,0.0002213622,0.00002899569],"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":[0.0008098445,0.00007269452,0.000004645724,0.0000372777,0.000004473716,0.000002063236,0.0002333738,0.02233204,0.9752306,0.0002266244,0.000002817735,0.001043516],"study_design_scores_gemma":[0.000503995,0.0007433986,0.0001825035,0.000184445,0.00004620426,0.000008547512,0.00004225067,0.04380781,0.9542852,0.0001038672,0.00001080249,0.0000809702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780632,0.00008749858,0.01967936,0.001576329,0.0001769516,0.0003189672,0.00001110199,0.000009029396,0.00007758456],"genre_scores_gemma":[0.9984928,0.000002315154,0.001105811,0.0003093313,0.0000607903,0.000003104219,8.609777e-7,0.00001502454,0.000009944006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02147577,"threshold_uncertainty_score":0.2665899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447650335064385,"score_gpt":0.2406157479231429,"score_spread":0.2161392445724991,"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."}}