{"id":"W4304959973","doi":"10.1016/j.surfin.2022.102378","title":"Thermodynamic analysis on wetting state transitions of rough surfaces with 3D irregular microstructure","year":2022,"lang":"en","type":"article","venue":"Surfaces and Interfaces","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wetting transition; Wetting; Materials science; Paraboloid; Honeycomb; Thermodynamic equilibrium; Surface energy; Cylinder; Gibbs free energy; Microstructure; Phase transition; Surface (topology); Mechanics; Condensed matter physics; Geometry; Composite material; Thermodynamics; Physics; Mathematics","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":[0.0001382559,0.0001132699,0.0001695803,0.0004463369,0.0002527134,0.0003568102,0.0002343706,0.0001579115,0.001215481],"category_scores_gemma":[0.0003416079,0.0001405814,0.0002586034,0.0002303092,0.0003421434,0.0003494451,0.0001676583,0.0001752502,0.00007585895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000309233,"about_ca_system_score_gemma":0.0002013731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598565,"about_ca_topic_score_gemma":0.001549887,"domain_scores_codex":[0.9999455,0.00000606474,0.000002224766,0.00001043519,0.00002233334,0.00001346358],"domain_scores_gemma":[0.9999084,0.00003690115,0.00001687874,0.000009203836,0.00001984803,0.000008559151],"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":[0.0003001198,0.0001687773,0.008857239,0.0002490904,0.00006692206,0.0004883655,0.0001820293,0.1901789,0.7346763,0.05223172,0.0004796341,0.0121209],"study_design_scores_gemma":[0.000008124555,0.0000751032,0.0112086,0.000004072815,0.00001179667,0.00008767643,0.00005570444,0.8903363,0.09351464,0.004150335,0.0005279854,0.00001965607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909618,0.0001844345,0.006940376,0.00002598118,0.00000635226,0.000009044394,0.00006515902,0.00002624848,0.001780531],"genre_scores_gemma":[0.9985813,0.00005755177,0.0009488972,0.000003499459,0.000003178536,0.000006243096,0.00006386897,0.00000706464,0.0003282866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001598565,"threshold_uncertainty_score":0.004066229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00809570125657667,"score_gpt":0.2189986531517766,"score_spread":0.2109029518951999,"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."}}