{"id":"W3009695268","doi":"10.1063/1.5144137","title":"Magnetic water-in-water droplet microfluidics: Systematic experiments and scaling mathematical analysis","year":2020,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Ryerson University","keywords":"Polyethylene glycol; Microfluidics; PEG ratio; Biocompatible material; Materials science; Ferrofluid; Scaling; Dextran; Nanotechnology; Magnetic field; Phase (matter); Chemical engineering; Aqueous two-phase system; Chemistry; Chromatography; Biomedical engineering; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001413994,0.0005705636,0.0004578407,0.0003623993,0.0003319767,0.0003461183,0.0005132165,0.000415511,0.0006745675],"category_scores_gemma":[0.002979284,0.0002449572,0.0004072643,0.0002905373,0.0006171151,0.0005583152,0.0004209942,0.0004522087,0.00009788972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005855784,"about_ca_system_score_gemma":0.0006754465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381226,"about_ca_topic_score_gemma":0.001047722,"domain_scores_codex":[0.9996823,0.00008837945,0.00002157091,0.00007783935,0.0001073081,0.00002262273],"domain_scores_gemma":[0.998822,0.000764753,0.0001615033,0.0001244565,0.0001090684,0.00001824727],"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":[0.0001490208,0.0004281161,0.004110553,0.001042798,0.0001072241,0.0003351166,0.0003986312,0.4009286,0.4444931,0.08662681,0.001206144,0.06017385],"study_design_scores_gemma":[0.00002289157,0.00009129303,0.0006999249,0.00001502942,0.0000132093,0.00003052305,0.00001770191,0.9238126,0.06966008,0.004296121,0.001315592,0.00002507606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1999755,0.001069561,0.7938368,0.0003777256,0.00005602137,0.0005466149,0.000390638,0.0005827841,0.00316433],"genre_scores_gemma":[0.7496821,0.001323323,0.2463101,0.00005426171,0.00003981037,0.0009836402,0.0002075061,0.00009625949,0.001302973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001413994,"threshold_uncertainty_score":0.007478058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572288163068314,"score_gpt":0.2248342195117182,"score_spread":0.209111337881035,"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."}}