{"id":"W2960133420","doi":"10.1021/acsami.9b08849","title":"Facile Actuation of Organic and Aqueous Droplets on Slippery Liquid-Infused Porous Surfaces for the Application of On-Chip Polymer Synthesis and Liquid–Liquid Extraction","year":2019,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Contact angle; Polymer; Chemical engineering; Microfluidics; Aqueous solution; Oil droplet; Nanotechnology; Polymerization; Extraction (chemistry); Pickering emulsion; Porosity; Nanoparticle; Emulsion; Chromatography; Organic chemistry; Composite material; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002706848,0.0002115825,0.0003306839,0.00009606916,0.00005842324,0.00003226864,0.0001584334,0.0001759888,0.00002570378],"category_scores_gemma":[0.00005113449,0.0001645935,0.00001337492,0.00006775259,0.00007565246,0.00006387646,0.00004310653,0.00008467239,0.00001029482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003092046,"about_ca_system_score_gemma":0.00001210562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003904691,"about_ca_topic_score_gemma":0.000006596583,"domain_scores_codex":[0.9990722,0.00001705981,0.0003545654,0.000249478,0.0001113785,0.0001953352],"domain_scores_gemma":[0.9989748,0.0004912947,0.0001872274,0.0002978505,0.00003310644,0.00001569526],"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":[0.0009333852,0.0000260305,0.000002664723,0.0002021255,0.00007097231,6.883035e-8,0.0003110566,0.00007055196,0.9920809,0.0002985811,0.00005003119,0.00595369],"study_design_scores_gemma":[0.0002221407,0.000730402,0.00003394853,0.00006545796,0.00004928962,0.000003368026,0.0004114122,0.000008763403,0.9981904,0.00003907611,0.00008929718,0.0001564539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971673,0.001182236,0.0003105598,0.0001437074,0.0001402564,0.0007070249,0.00005761132,0.0002201979,0.00007107166],"genre_scores_gemma":[0.9987456,0.0009240895,0.00004815747,0.0000229956,0.00002358717,0.0001646025,0.00001037345,0.00004250891,0.00001807835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006109548,"threshold_uncertainty_score":0.6711928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006758337558668105,"score_gpt":0.2125854990843671,"score_spread":0.2058271615256989,"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."}}