{"id":"W2175644572","doi":"10.1016/j.mee.2015.10.003","title":"Electrowetting on superhydrophobic natural (Colocasia) and synthetic surfaces based upon fluorinated silica nanoparticles","year":2015,"lang":"en","type":"article","venue":"Microelectronic Engineering","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; CMC Microsystems","keywords":"Electrowetting; Materials science; Nanoparticle; Contact angle; Superhydrophobic coating; Electrode; Nanotechnology; Chemical engineering; Microfluidics; Dielectric; Composite material; Optoelectronics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002685644,0.0004368616,0.0003506402,0.0002864623,0.0000940878,0.00008491497,0.0002634718,0.0001765303,0.000004654545],"category_scores_gemma":[0.0001540825,0.0004516953,0.00006777411,0.0004811872,0.00004933133,0.0001197701,0.00004379821,0.0007241385,0.00002522358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004840436,"about_ca_system_score_gemma":0.0000764818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001522009,"about_ca_topic_score_gemma":0.000008988126,"domain_scores_codex":[0.9978924,0.00003122337,0.0003054545,0.000426197,0.0001902533,0.001154476],"domain_scores_gemma":[0.9993017,0.0001307067,0.00003106064,0.0003439302,0.00004715727,0.0001454868],"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":[0.00002286212,0.00002005086,0.00002791944,0.00006516926,0.00004640878,0.00002186193,0.00007495115,0.01973484,0.9751683,0.000189066,0.0002166912,0.004411811],"study_design_scores_gemma":[0.0005748189,0.0002970737,0.00004169992,0.0000858853,0.00002534687,0.00009871936,0.00003979551,0.1011226,0.8940997,0.00003231824,0.003140739,0.0004413276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727455,0.02346403,0.0003587707,0.0002578282,0.0001938977,0.0002125634,0.000002468536,0.002675884,0.00008909137],"genre_scores_gemma":[0.9987252,0.000260583,0.0007347281,0.00003250108,0.00004557508,0.00004092116,0.000008090304,0.000114526,0.00003784595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08138778,"threshold_uncertainty_score":0.9997935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005943441248162636,"score_gpt":0.1808726656324929,"score_spread":0.1749292243843303,"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."}}