{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004335319,0.00007913843,0.0001212863,0.00004876014,0.00004568836,0.00001134876,0.00004698107,0.00005487795,0.00006745339],"category_scores_gemma":[0.00001491809,0.00006923085,0.00005066225,0.0000608866,0.00001102646,0.00005703475,0.000003724105,0.0001103227,0.00005599626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008057965,"about_ca_system_score_gemma":0.000003911085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004519674,"about_ca_topic_score_gemma":0.0001259581,"domain_scores_codex":[0.9996104,0.00001155107,0.0001426454,0.00007083703,0.00007925271,0.00008529073],"domain_scores_gemma":[0.9997392,0.00008385158,0.00002738527,0.00007825391,0.00004540057,0.0000259478],"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":[0.0001702175,0.0001674333,0.011574,0.0001471464,0.0001765861,0.00001301923,0.001996146,0.2861156,0.6839578,0.0007128677,0.009993639,0.004975586],"study_design_scores_gemma":[0.003974963,0.0003689327,0.1429509,0.0001337418,0.00008897787,0.00008194163,0.0003865824,0.3063862,0.4644541,0.0005998412,0.07971317,0.0008605683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953029,0.00006491594,0.001079315,0.00004929619,0.0009062412,0.00006977557,0.00001235637,0.0001756674,0.002339511],"genre_scores_gemma":[0.9994692,0.00001810181,0.0002252038,0.00001376689,0.00008959014,0.000003823056,0.00001230419,0.00001533374,0.0001527381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2195036,"threshold_uncertainty_score":0.2823152,"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."}}