{"id":"W2619960222","doi":"10.1149/ma2017-01/34/1644","title":"Numerical Study of Roughness and Contact Angle Effects on Water Transport in a Gas Channel","year":2017,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Volume of fluid method; Mechanics; Finite volume method; Discretization; Anode; Surface tension; Channel (broadcasting); Computer science; Flow (mathematics); Materials science; Simulation; Chemistry; Electrode; Mathematics; Physics; Thermodynamics","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":[0.0007569567,0.0001310041,0.0002766798,0.00004697247,0.0001870013,0.0000560771,0.0002056762,0.00005953555,0.00001736892],"category_scores_gemma":[0.0001583748,0.00009818345,0.00002450352,0.00002491137,0.00003946495,0.0001335162,0.00002488813,0.0001093535,0.00003367195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001930064,"about_ca_system_score_gemma":0.00001213154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002353574,"about_ca_topic_score_gemma":0.0000855412,"domain_scores_codex":[0.9988494,0.00008638568,0.0002928381,0.0003071449,0.0002225811,0.0002416333],"domain_scores_gemma":[0.9992856,0.0001225578,0.0001204455,0.0003638116,0.00003235086,0.00007518686],"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":[0.0001374154,0.0006405239,0.05078077,0.00006101101,0.000004962002,0.00008060389,0.006509175,0.005088832,0.9366021,0.000001403903,0.000005049503,0.00008820571],"study_design_scores_gemma":[0.0007236229,0.0001646715,0.4136791,0.00006398886,0.000005064615,0.000001529433,0.0001913344,0.0001853775,0.5848767,0.0000165716,0.000009044766,0.00008300834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955684,0.00001153564,0.000001212846,0.0001478808,0.0002408305,0.0003102681,0.00000237538,0.00002793018,0.0036896],"genre_scores_gemma":[0.9998561,0.000001634475,0.00002613804,0.00002726278,0.00003183351,0.00001729433,0.000001609757,0.00001246063,0.00002571548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3628983,"threshold_uncertainty_score":0.4003805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02452805206207208,"score_gpt":0.2669955659175136,"score_spread":0.2424675138554415,"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."}}