{"id":"W4388993837","doi":"","title":"Transient Nanoscale Heat Anisotropy in Gold Nanocrosses","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Nanoscopic scale; Materials science; Transient (computer programming); Anisotropy; Thermal management of electronic devices and systems; Nanotechnology; Optoelectronics; Computer science; Mechanical engineering; Physics; Optics; Engineering","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":[0.002366832,0.0003031134,0.0003533275,0.0002821723,0.0002284246,0.000445177,0.000849021,0.0002363963,0.001024154],"category_scores_gemma":[0.0006314793,0.0003206764,0.0001829869,0.0006487314,0.0002525233,0.0002490599,0.0001950614,0.0006129264,0.0006221309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005275511,"about_ca_system_score_gemma":0.0002093937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01895295,"about_ca_topic_score_gemma":0.08394849,"domain_scores_codex":[0.995196,0.002466207,0.0006384682,0.0007753107,0.0004574367,0.0004665348],"domain_scores_gemma":[0.9963143,0.001479828,0.00019206,0.001198085,0.0006135391,0.0002021861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002321564,0.002102536,0.6898783,0.000747618,0.0003227621,0.0001818705,0.05175858,0.07310312,0.04145049,0.01152859,0.02803993,0.1006541],"study_design_scores_gemma":[0.001380673,0.000002557239,0.7316693,0.002857603,0.00007006885,0.00002957902,0.0009672085,0.1283547,0.07410286,0.006222753,0.05298354,0.001359112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673441,0.0005284931,0.004230917,0.01252209,0.0007866039,0.0005074379,0.0004793383,0.0003926163,0.01320838],"genre_scores_gemma":[0.9803881,0.0004702754,0.01018029,0.0001064818,0.00001936008,0.00001756155,0.0007796925,0.00002635948,0.008011861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09929495,"threshold_uncertainty_score":0.9999245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112992731097299,"score_gpt":0.2341570595851884,"score_spread":0.2130271322742154,"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."}}