{"id":"W2415808864","doi":"10.1038/srep26953","title":"Altering Emulsion Stability with Heterogeneous Surface Wettability","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Wetting; Emulsion; Microfluidics; Materials science; Capillary action; Capillary number; Oil droplet; Nanotechnology; Chemical engineering; Viscosity; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002352724,0.0003718518,0.0001758693,0.000230072,0.0001477538,0.0003412386,0.0001839587,0.0002534054,0.0004503521],"category_scores_gemma":[0.0006198972,0.0001720632,0.0002279059,0.000157835,0.0002511389,0.0005091944,0.0003018507,0.0004380585,0.0001105547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002947901,"about_ca_system_score_gemma":0.0001905846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003514235,"about_ca_topic_score_gemma":0.0005001811,"domain_scores_codex":[0.9998636,0.00001514245,0.00001530573,0.00004367538,0.00003054376,0.00003179289],"domain_scores_gemma":[0.9997317,0.00009494523,0.00009630291,0.00002093378,0.00003203902,0.00002406792],"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":[0.00001702676,0.0000104824,0.0001221998,0.00002091581,0.000003623642,0.00002006268,0.00001195537,0.0002131463,0.9985385,0.0001022698,0.00001306429,0.0009267835],"study_design_scores_gemma":[0.000006559949,0.00007456262,0.0006848655,0.000001929556,0.000009138002,0.0000261567,0.000006300825,0.002008041,0.9967331,0.00004027837,0.0004041718,0.000004962734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846063,0.0009604389,0.01319279,0.00009117944,0.00003524065,0.00003587715,0.00009033384,0.0001065423,0.0008813218],"genre_scores_gemma":[0.9932238,0.0005501271,0.005661766,0.00005153366,0.00001348832,0.0000362916,0.00005278986,0.00002391387,0.0003863676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004503521,"threshold_uncertainty_score":0.002138853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354150936795073,"score_gpt":0.2209433190311096,"score_spread":0.2074018096631589,"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."}}