{"id":"W4387474291","doi":"10.2316/j.2023.201-0370","title":"MODELLING AND SIMULATION OF FRICTION RESISTANCE OF SUPERHYDROPHOBIC SURFACE MICROSTRUCTURE, 202-209.","year":2023,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drag; Underwater; Microstructure; Materials science; Surface (topology); Reduction (mathematics); Resistance (ecology); Nanotechnology; Marine engineering; Computer science; Mechanical engineering; Composite material; Aerospace engineering; Engineering; Geology; Geometry; Mathematics; Ecology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000222598,0.0003617768,0.0005869858,0.0003553737,0.0004741708,0.0007165116,0.0007907486,0.001439497,0.003604872],"category_scores_gemma":[0.0006825085,0.0005791625,0.0007171961,0.0003186116,0.0003520712,0.0006525618,0.0003096233,0.0004951761,0.0004571521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008706922,"about_ca_system_score_gemma":0.001059958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01927259,"about_ca_topic_score_gemma":0.01548545,"domain_scores_codex":[0.9999039,0.00001205371,0.000005265553,0.00001532355,0.00003480293,0.00002867694],"domain_scores_gemma":[0.9998277,0.00008281403,0.0000172108,0.0000167976,0.00003988708,0.00001556856],"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":[0.00004547219,0.00005305404,0.001235873,0.0000935404,0.00002047498,0.00009958293,0.00003727567,0.979854,0.0100357,0.003640753,0.0007086371,0.004175518],"study_design_scores_gemma":[0.000004724029,0.000009501192,0.0003572322,0.000002989326,0.000002906828,0.00001259514,0.000005815477,0.9979683,0.0008818535,0.0002992501,0.0004515059,0.000003334621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.707821,0.003892066,0.2319522,0.001223163,0.0004669047,0.0002259529,0.002275396,0.001159257,0.05098416],"genre_scores_gemma":[0.973186,0.0007097942,0.01757939,0.00004507716,0.00001709925,0.00008254328,0.0005240357,0.00008626035,0.007769887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01927259,"threshold_uncertainty_score":0.03832084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637580278186303,"score_gpt":0.229188998853626,"score_spread":0.212813196071763,"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."}}