{"id":"W2089750940","doi":"10.1021/la804095y","title":"Contact Line Pinning by Microfabricated Patterns: Effects of Microscale Topography","year":2009,"lang":"en","type":"article","venue":"Langmuir","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute of General Medical Sciences","keywords":"Microscale chemistry; Contact angle; Materials science; Hysteresis; Wafer; Drop (telecommunication); Wetting; Line (geometry); Surface (topology); Mechanics; Polymer; Ring (chemistry); Optics; Geometry; Condensed matter physics; Composite material; Nanotechnology; Chemistry; Physics","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":[0.0000771194,0.0001828292,0.0001544682,0.0001106824,0.000134897,0.0003222168,0.0002017663,0.0001550325,0.0007338826],"category_scores_gemma":[0.0004472649,0.0001508752,0.0001193493,0.0001372546,0.0002924421,0.0003173439,0.0001944971,0.0002808599,0.0001563839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159062,"about_ca_system_score_gemma":0.00007754735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003218389,"about_ca_topic_score_gemma":0.0005045285,"domain_scores_codex":[0.9998792,0.000008649416,0.000006079881,0.00002344706,0.00004976066,0.00003289073],"domain_scores_gemma":[0.9996972,0.0001284065,0.00009193879,0.00003692507,0.00002248935,0.00002302663],"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":[0.00002629107,0.00001295306,0.0003467775,0.00002387218,0.000002773253,0.00005472374,0.00002911366,0.0006683256,0.996121,0.00007664937,0.00001549681,0.002622055],"study_design_scores_gemma":[0.000009083119,0.0001611132,0.002794114,0.000001486236,0.000004703797,0.00009743144,0.00002100798,0.004922463,0.9916059,0.00005564473,0.0003222582,0.000004725658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961255,0.0002534479,0.003004993,0.00002248307,0.000006469051,0.000008600533,0.00001711143,0.00004234905,0.000519043],"genre_scores_gemma":[0.9984931,0.0001321856,0.001168969,0.000008161754,0.000004023884,0.000004309675,0.00001419226,0.000007044029,0.0001680326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007338826,"threshold_uncertainty_score":0.002455056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006108696601288997,"score_gpt":0.2277050590811457,"score_spread":0.2215963624798568,"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."}}