{"id":"W4378347876","doi":"10.3762/bjnano.14.49","title":"Thermal transport in kinked nanowires through simulation","year":2023,"lang":"en","type":"article","venue":"Beilstein Journal of Nanotechnology","topic":"Thermal properties of materials","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanowire; Thermal conductivity; Phonon; Monte Carlo method; Heat flux; Materials science; Condensed matter physics; Fourier transform; Molecular dynamics; Thermal; Ballistic conduction; Statistical physics; Physics; Mechanics; Heat transfer; Nanotechnology; Thermodynamics; Electron; Quantum mechanics","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":[0.0003118585,0.0002926203,0.0006955005,0.0003748667,0.0005150498,0.0009592487,0.0009339787,0.001014345,0.002917135],"category_scores_gemma":[0.001015841,0.0003671133,0.0004469285,0.0005954998,0.0006979174,0.0007573972,0.0004626693,0.0005351086,0.0002089694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307844,"about_ca_system_score_gemma":0.0009968574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086306,"about_ca_topic_score_gemma":0.007928488,"domain_scores_codex":[0.9998413,0.00003808841,0.000005978749,0.00002878933,0.00004813114,0.00003762206],"domain_scores_gemma":[0.9995763,0.0002157666,0.00004032314,0.00005164628,0.00008613392,0.00002985642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003242054,0.00003708952,0.0006217164,0.00004505453,0.00001859093,0.00006173,0.00007489367,0.9870734,0.003124705,0.00753697,0.0001410281,0.00123245],"study_design_scores_gemma":[0.000006594057,0.00000669316,0.0001249042,0.000005639529,0.000002375258,0.000007315542,0.00001161306,0.9978039,0.0005180145,0.001210002,0.0002985507,0.000004421547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8623365,0.0004113555,0.1135305,0.0002851603,0.00007537444,0.00008593529,0.0006820789,0.0005158675,0.02207718],"genre_scores_gemma":[0.9703883,0.0002238111,0.02455244,0.00005788531,0.00001093726,0.0001601618,0.0004074549,0.0001190333,0.004079888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01086306,"threshold_uncertainty_score":0.02159965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313694318109075,"score_gpt":0.2760979901698861,"score_spread":0.2447285583589786,"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."}}