{"id":"W71686876","doi":"","title":"Interactions Of Fast Ions With Supported Graphene: Quantum Hydrodynamic Model","year":2010,"lang":"en","type":"article","venue":"VinaR (Institute of Nuclear Sciences \"Vinča\")","topic":"Dust and Plasma Wave Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Graphene; Ion; Electron; Plasmon; Quantum; Substrate (aquarium); Valence electron; Materials science; Valence (chemistry); Condensed matter physics; Physics; Nanotechnology; Quantum mechanics; Optoelectronics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002528392,0.0006240606,0.0007992325,0.000659979,0.0006230548,0.0009458736,0.001429174,0.002057787,0.002104889],"category_scores_gemma":[0.0005888559,0.0003260756,0.0005139802,0.0005255155,0.00152594,0.001109505,0.00071982,0.0004461044,0.0002709804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171452,"about_ca_system_score_gemma":0.000694896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0125531,"about_ca_topic_score_gemma":0.004156506,"domain_scores_codex":[0.9997984,0.00005872187,0.00000553635,0.00002547552,0.00005295016,0.00005906381],"domain_scores_gemma":[0.9997508,0.0000714484,0.00004494769,0.00002591889,0.00004161496,0.00006526044],"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":[0.00007701131,0.00009252803,0.0009221328,0.00004480581,0.00003097472,0.0003809694,0.000099615,0.9213832,0.008793978,0.06640777,0.0004745916,0.001292508],"study_design_scores_gemma":[0.00002566042,0.00001891438,0.0001756323,0.000002356144,0.000003752267,0.00001518014,0.00001314984,0.9956005,0.0002723605,0.003690307,0.0001693993,0.00001267929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8079394,0.0007093066,0.153281,0.001248673,0.0002644183,0.0001419161,0.0003618514,0.0003012664,0.03575217],"genre_scores_gemma":[0.9867002,0.0002753921,0.005589666,0.0001529385,0.00005357365,0.00007429004,0.00006451834,0.00002903602,0.007060537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125531,"threshold_uncertainty_score":0.02496004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225082004828006,"score_gpt":0.240991132714673,"score_spread":0.2287403126663929,"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."}}