{"id":"W2193685364","doi":"10.1038/srep17747","title":"Non-linear, non-monotonic effect of nano-scale roughness on particle deposition in absence of an energy barrier: Experiments and modeling","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Water Network","keywords":"DLVO theory; Deposition (geology); Particle deposition; Surface roughness; Mechanics; Surface finish; Materials science; Particle (ecology); Surface energy; Nanotechnology; Chemistry; Colloid; Composite material; Physics; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009700573,0.0001273847,0.0002310839,0.0001050603,0.00003826675,0.00003167877,0.00009345311,0.00006232629,0.000001764066],"category_scores_gemma":[0.0000390361,0.0001257335,0.00003213187,0.0003018393,0.00009331474,0.0002599381,0.0000431106,0.00005978537,0.000001161179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007260311,"about_ca_system_score_gemma":0.00003338621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001110182,"about_ca_topic_score_gemma":0.00005692372,"domain_scores_codex":[0.9985576,0.0000354143,0.0004851715,0.0003521395,0.0003351064,0.0002346141],"domain_scores_gemma":[0.9991576,0.00002041367,0.00007626651,0.0005387025,0.00006593003,0.0001410614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000211615,0.00003816193,0.003191375,0.00002649724,0.000004494044,0.00002801655,0.0005280677,0.492198,0.503466,0.000006136155,0.00000518129,0.0004869281],"study_design_scores_gemma":[0.0001750493,0.00005956074,0.00009194396,0.00004352919,0.000003300841,0.00001077018,0.00003095706,0.5288187,0.4706211,0.00008230784,0.000001203139,0.00006162916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945939,0.0001039835,0.00369989,0.000001085643,0.001178849,0.0001603616,0.0000016275,0.00003415062,0.0002261537],"genre_scores_gemma":[0.9992039,0.000003172308,0.0006988067,0.000001580408,0.00001174928,0.00003471223,0.000008031641,0.0000193859,0.00001866969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03662074,"threshold_uncertainty_score":0.5127264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349316035772002,"score_gpt":0.2630980578496361,"score_spread":0.2496048974919161,"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."}}