{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002644932,0.0002902333,0.0003254352,0.0001787474,0.0002152376,0.0003218315,0.0004154104,0.0005575077,0.0004265841],"category_scores_gemma":[0.0005187493,0.0002002323,0.0002870746,0.0001732019,0.0004350108,0.0003487036,0.0002355799,0.0003580219,0.00009928784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004604358,"about_ca_system_score_gemma":0.0004623514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004225146,"about_ca_topic_score_gemma":0.002820765,"domain_scores_codex":[0.9998947,0.00001269416,0.000005895826,0.00002470524,0.00004118237,0.00002091049],"domain_scores_gemma":[0.9997459,0.0001507939,0.000035931,0.00002824725,0.00002751475,0.00001165982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00013845,0.0001557259,0.002479011,0.0002716521,0.00002540483,0.0003605379,0.0001388215,0.5190974,0.468095,0.002872034,0.0001607651,0.006205176],"study_design_scores_gemma":[0.00001363252,0.00005165719,0.001034418,0.00000268877,0.000004627997,0.00002004808,0.00001159913,0.9564461,0.04204277,0.0002132566,0.0001505793,0.00000870498],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472106,0.0004167917,0.04816912,0.0001313189,0.00002339507,0.0001094249,0.0001822421,0.0001887626,0.003568432],"genre_scores_gemma":[0.9892282,0.000296216,0.009500629,0.00001198578,0.000004745352,0.00004378676,0.00004125415,0.00001490958,0.0008582948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004225146,"threshold_uncertainty_score":0.008401096,"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."}}