{"id":"W2079008221","doi":"10.1088/0953-8984/21/22/224014","title":"Ion beam sputtering nanopatterning of thin metal films: the synergism of kinetic self-organization and coarsening","year":2009,"lang":"en","type":"article","venue":"Journal of Physics Condensed Matter","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"","keywords":"Materials science; Kinetic Monte Carlo; Nanotechnology; Substrate (aquarium); Heterojunction; Nanostructure; Thin film; Sputtering; Surface diffusion; Ion beam; Chemical physics; Optoelectronics; Ion; Monte Carlo method; Chemistry; Physical chemistry","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":[0.0001716247,0.0001713257,0.0003159805,0.0001991748,0.000215813,0.0003875986,0.000368687,0.0003317451,0.0004207563],"category_scores_gemma":[0.0004802427,0.0002192749,0.0002107649,0.0001632884,0.000432112,0.0003989529,0.000220861,0.0002704781,0.0001186614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004334191,"about_ca_system_score_gemma":0.0001379291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00084053,"about_ca_topic_score_gemma":0.001035097,"domain_scores_codex":[0.9998652,0.00001566449,0.000007489439,0.00002918174,0.00005632141,0.00002612939],"domain_scores_gemma":[0.9998087,0.00007966267,0.00003871441,0.00003559345,0.00002358926,0.00001365012],"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":[0.00008460097,0.00004571878,0.001705495,0.0001504765,0.00003133047,0.0002962302,0.0001268668,0.04940136,0.9320462,0.006790597,0.0001831339,0.009137955],"study_design_scores_gemma":[0.00002122592,0.0001014157,0.00360331,0.000006636898,0.0000132037,0.0002589948,0.00003347769,0.4698451,0.5228127,0.0019183,0.001364789,0.00002072031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439186,0.001026349,0.05162948,0.0001014209,0.00003343175,0.00002771415,0.00004448451,0.000288069,0.002930315],"genre_scores_gemma":[0.9856731,0.0003072871,0.01325387,0.00002487551,0.000006252803,0.00001337182,0.00003993885,0.00002699196,0.0006544336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00084053,"threshold_uncertainty_score":0.003144681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003865276230684678,"score_gpt":0.1878837079834423,"score_spread":0.1840184317527576,"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."}}