{"id":"W4312224118","doi":"10.1063/5.0130834","title":"Regulation of droplet size and flow regime by geometrical confinement in a microfluidic flow-focusing device","year":2022,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Indian Institute of Technology Kharagpur","keywords":"Microchannel; Flow focusing; Mechanics; Microfluidics; Reynolds number; Flow (mathematics); Physics; Volumetric flow rate; Capillary action; Capillary number; Fluid dynamics; Surface tension; Weber number; Hele-Shaw flow; Flow conditioning; Open-channel flow; Thermodynamics; Turbulence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003450661,0.0001372986,0.0002648258,0.0001785132,0.0000439943,0.000006657925,0.0001200114,0.00004302176,0.00006331164],"category_scores_gemma":[0.00003165749,0.0001641537,0.00003335719,0.001433607,0.00007286076,0.00009324416,0.0001014115,0.0001721883,5.644026e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418347,"about_ca_system_score_gemma":0.00002716079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003740485,"about_ca_topic_score_gemma":9.915524e-8,"domain_scores_codex":[0.9989344,0.00002677188,0.0004623618,0.0001653564,0.000247526,0.0001635293],"domain_scores_gemma":[0.9995325,0.00006680516,0.00007813862,0.0001922237,0.0001134187,0.00001695655],"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":[0.00001716538,0.00006459076,0.0002073131,0.0001228692,0.00002375648,5.977564e-7,0.0003482601,0.0001660792,0.9740394,0.003028816,0.0073333,0.01464781],"study_design_scores_gemma":[0.0006003059,0.00009663174,0.0008653909,0.00004331151,0.00001592189,0.000003246807,0.0001025539,0.01143844,0.9786029,0.001759838,0.006282891,0.0001885228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7238436,0.003098047,0.2715671,0.0001129362,0.0001175683,0.000336084,0.0001487095,0.00009162578,0.0006843245],"genre_scores_gemma":[0.9966588,0.00007847204,0.002986149,0.00004493795,0.00003047392,0.00002810249,0.0001167709,0.00002566533,0.00003061047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2728153,"threshold_uncertainty_score":0.6693994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075723173198632,"score_gpt":0.2241682680422493,"score_spread":0.213411036310263,"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."}}