{"id":"W4390658454","doi":"10.1117/12.3012909","title":"Manipulating droplets on surfaces: using the electrocapillary effect for control and applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Electrowetting; Surface tension; Microfluidics; Wetting; Nanotechnology; Digital microfluidics; Surface force; Mechanics; Adhesion; Materials science; Surface (topology); Mechanism (biology); Mechanical engineering; Engineering; Physics; Composite material; Optoelectronics","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":[0.0004663777,0.0004108182,0.0003177656,0.0003104669,0.0003619586,0.001473966,0.0005401755,0.0008400384,0.001502803],"category_scores_gemma":[0.0003899496,0.0002391169,0.0002548633,0.0003359205,0.0009177716,0.001494914,0.0007145315,0.0007026427,0.0003023109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000515735,"about_ca_system_score_gemma":0.0002722675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003183587,"about_ca_topic_score_gemma":0.0003614584,"domain_scores_codex":[0.9997053,0.00003321532,0.00001377548,0.00006464357,0.0001495068,0.00003341867],"domain_scores_gemma":[0.9998707,0.00005422956,0.00001893371,0.00002070177,0.00002201071,0.00001344084],"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":[0.00004930595,0.00003650853,0.0001173427,0.0002634562,0.000007663045,0.0002130699,0.00007089529,0.0006423405,0.9427153,0.01562115,0.0006031228,0.03965978],"study_design_scores_gemma":[0.000039254,0.0004248004,0.0007646699,0.00006473477,0.00002385025,0.0007952939,0.00007652034,0.01065245,0.9105426,0.006502087,0.07005293,0.00006073792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3540542,0.1823642,0.3901785,0.008821456,0.00256322,0.000376847,0.0001686797,0.001040317,0.06043258],"genre_scores_gemma":[0.8328005,0.0514267,0.1032786,0.001025828,0.0004450487,0.0001504935,0.00009618778,0.0001078114,0.0106688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001502803,"threshold_uncertainty_score":0.005027413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007672532389423063,"score_gpt":0.2331079149870184,"score_spread":0.2254353825975954,"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."}}