{"id":"W3039439308","doi":"10.3390/s20133774","title":"An Interface–Particle Interaction Approach for Evaluation of the Co-Encapsulation Efficiency of Cells in a Flow-Focusing Droplet Generator","year":2020,"lang":"en","type":"article","venue":"Sensors","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Sharif University of Technology","keywords":"Encapsulation (networking); Scalability; Microfluidics; Pairing; Surface tension; Computer science; Finite element method; Materials science; Nanotechnology; Volumetric flow rate; Simulation; Biological system; Mechanics; Engineering; Physics; Superconductivity; Structural engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005357752,0.0004370129,0.0003472362,0.0004891477,0.0001835767,0.0002988013,0.0006506978,0.0005561226,0.0006774861],"category_scores_gemma":[0.0004608808,0.000241188,0.000482925,0.000354299,0.0001882885,0.0003631252,0.0003565594,0.0004150666,0.0001878368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004470957,"about_ca_system_score_gemma":0.0003625232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007716339,"about_ca_topic_score_gemma":0.0006909276,"domain_scores_codex":[0.9996989,0.00003769045,0.00002076603,0.0000604694,0.0001591638,0.00002309766],"domain_scores_gemma":[0.999823,0.00009063866,0.0000232169,0.00001543012,0.00003819582,0.000009572506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007979426,0.0001062401,0.0007136124,0.000142997,0.00002399391,0.00008297329,0.00005525948,0.01952686,0.9624394,0.001978658,0.0001625902,0.01468775],"study_design_scores_gemma":[0.00001248176,0.0001434121,0.0009603302,0.000004651025,0.00002423844,0.00005516741,0.00001109058,0.5579552,0.4398019,0.0002575053,0.0007513089,0.00002270607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3484271,0.0006797275,0.6471947,0.00008938058,0.00007911216,0.0001755667,0.0002528953,0.0006492893,0.002452279],"genre_scores_gemma":[0.7726268,0.0005158614,0.2249936,0.00005330536,0.00001019068,0.0002752561,0.0002133777,0.00004792007,0.001263735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007716339,"threshold_uncertainty_score":0.003243923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591499620546605,"score_gpt":0.2959639947425991,"score_spread":0.260048998537133,"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."}}