{"id":"W1997244304","doi":"10.1007/s10404-009-0460-3","title":"Effects of dynamic contact angle on numerical modeling of electrowetting in parallel plate microchannels","year":2009,"lang":"en","type":"article","venue":"Microfluidics and Nanofluidics","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Electrowetting; Microchannel; Volume of fluid method; Mechanics; Contact angle; Digital microfluidics; Wetting; Microfluidics; Materials science; Optics; Flow (mathematics); Physics; Nanotechnology; Composite material; Optoelectronics","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":[0.0002738541,0.0003630363,0.0006597722,0.0004208936,0.00005775667,0.0000163309,0.0002617608,0.0003093585,0.000001850398],"category_scores_gemma":[0.0000831453,0.0003684265,0.0001195071,0.0004758831,0.00005556248,0.00008027273,0.0000309727,0.0004157548,0.000001938945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009733111,"about_ca_system_score_gemma":0.00003933503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002993932,"about_ca_topic_score_gemma":7.368825e-7,"domain_scores_codex":[0.9981354,0.00004017452,0.0006838746,0.0003503106,0.0001799619,0.0006102372],"domain_scores_gemma":[0.9993404,0.0001660404,0.00009920651,0.0002640326,0.00005910485,0.00007119706],"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":[0.0000716016,0.0001157849,0.00007249905,0.0001978583,0.0000422699,0.00001917974,0.0003129556,0.0001525874,0.97961,0.0006159864,0.0002727995,0.01851653],"study_design_scores_gemma":[0.001099673,0.0007036722,0.0003212864,0.0004023259,0.00003271771,0.00002042816,0.00005683515,0.009484903,0.9863761,0.0009822513,0.0001811066,0.0003386892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9084406,0.07377026,0.01696321,0.00009593652,0.00008666237,0.0002861009,0.000009973099,0.0002224578,0.0001247823],"genre_scores_gemma":[0.97468,0.02419836,0.000941287,0.00008721202,0.00001641001,0.000009454413,0.000009588853,0.00004587967,0.00001179917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06623939,"threshold_uncertainty_score":0.9998768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004007506816593674,"score_gpt":0.198737525606989,"score_spread":0.1947300187903953,"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."}}