{"id":"W3098966378","doi":"","title":"A Three-Dimensional Atomistic Kinetic Monte Carlo Study of Dynamic Solute-Interface Interaction","year":2016,"lang":"en","type":"article","venue":"","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Solvent drag; Thermal diffusivity; Materials science; Monte Carlo method; Kinetic energy; Kinetic Monte Carlo; Drag; Thermodynamics; Interface (matter); Diffusion; Phenomenological model; Statistical physics; Chemical physics; Physics; Classical mechanics; Condensed matter physics","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":[0.0007907226,0.0003578779,0.0007773164,0.0006539807,0.0009711055,0.0008125392,0.0009238916,0.001083315,0.001477966],"category_scores_gemma":[0.001486575,0.0004270139,0.0005320591,0.0005197696,0.0009922221,0.0007712466,0.0004657522,0.0008318428,0.0001403452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413809,"about_ca_system_score_gemma":0.001394089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01750809,"about_ca_topic_score_gemma":0.006647197,"domain_scores_codex":[0.9998345,0.00005485703,0.000006533126,0.00001545141,0.00004537289,0.00004313727],"domain_scores_gemma":[0.9991153,0.0004785037,0.00009264322,0.00005433908,0.0001569636,0.0001021876],"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":[0.00005565316,0.00007651938,0.00110822,0.00003640556,0.00002654346,0.000153239,0.00005400204,0.9777613,0.003188001,0.01625207,0.0002437088,0.001044453],"study_design_scores_gemma":[0.000006451944,0.000007118137,0.00007819859,0.000001604307,0.000001866904,0.000005945181,0.000005034521,0.999141,0.0002420582,0.0004405251,0.00006633533,0.000003903275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9020106,0.0005109052,0.0832938,0.0006332908,0.00008179155,0.0001238495,0.0002249265,0.0001963489,0.01292442],"genre_scores_gemma":[0.9868801,0.000131834,0.01128165,0.00006272057,0.00001347206,0.00007989794,0.00006434623,0.00003577359,0.001450205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01750809,"threshold_uncertainty_score":0.03481239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663482308016661,"score_gpt":0.2586603298860902,"score_spread":0.2420255068059236,"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."}}