{"id":"W2042648095","doi":"10.1021/la102605g","title":"Computation of Contact Lines on Randomly Heterogeneous Surfaces","year":2010,"lang":"en","type":"article","venue":"Langmuir","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Wetting; Contact angle; Hysteresis; Solid surface; Slip (aerodynamics); Homogeneous; Computation; Surface energy; Materials science; Wetting transition; Surface (topology); Range (aeronautics); Chemical physics; Chemistry; Geometry; Statistical physics; Composite material; Thermodynamics; Physics; Condensed matter 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":[0.0002663999,0.0003546246,0.0004838894,0.0006183423,0.0005251527,0.0008218599,0.0008059661,0.001351559,0.001954638],"category_scores_gemma":[0.001805158,0.0004609382,0.0003102261,0.0005111597,0.0006925618,0.0009275802,0.0004503907,0.0003728234,0.0002003101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009397648,"about_ca_system_score_gemma":0.0005737156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005810298,"about_ca_topic_score_gemma":0.003395776,"domain_scores_codex":[0.9998232,0.00003319238,0.000009270545,0.00004269651,0.00005833568,0.0000334369],"domain_scores_gemma":[0.9992402,0.0004563851,0.00008877149,0.00007244178,0.00008781195,0.00005453371],"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":[0.00003842108,0.00003318504,0.0008190883,0.00001957282,0.000008148638,0.0001210112,0.00002727611,0.9875331,0.004189858,0.004100737,0.000139881,0.002969645],"study_design_scores_gemma":[0.00000983954,0.000006046209,0.0001068317,7.079789e-7,6.327155e-7,0.000008669024,0.000004827838,0.9983934,0.00067831,0.0007128437,0.00007588699,0.000001980645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7605869,0.0001598668,0.2305396,0.0002112231,0.00001688979,0.00007403811,0.0003299608,0.0005429097,0.007538654],"genre_scores_gemma":[0.9661076,0.00007237177,0.0317261,0.00002346873,0.00001113021,0.00008724067,0.0002226433,0.00006692401,0.00168248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005810298,"threshold_uncertainty_score":0.01155293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008706921119223748,"score_gpt":0.235598149342806,"score_spread":0.2268912282235823,"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."}}