{"id":"W2333605141","doi":"10.1049/mnl.2015.0329","title":"Rapid fabrication of circular channel microfluidic flow‐focusing devices for hydrogel droplet generation","year":2016,"lang":"en","type":"article","venue":"Micro & Nano Letters","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Fabrication; Flow focusing; Nanotechnology; Materials science; Flow (mathematics); Channel (broadcasting); Engineering; Mechanics; Electrical engineering; Physics","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":[0.0004477836,0.0003458215,0.0002786647,0.0003165274,0.0002658202,0.000305012,0.0004124587,0.0003230368,0.001283027],"category_scores_gemma":[0.0003304875,0.000331741,0.0002633174,0.0001545568,0.0002244016,0.0003743014,0.0003444689,0.0004295556,0.0005380648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003165531,"about_ca_system_score_gemma":0.0002686124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002059289,"about_ca_topic_score_gemma":0.0004123484,"domain_scores_codex":[0.9998361,0.00001236324,0.00001609301,0.00004225005,0.00005730032,0.00003589735],"domain_scores_gemma":[0.9997645,0.00009618482,0.00004546527,0.00002535845,0.00003814539,0.00003040012],"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":[0.00003521886,0.00002339072,0.00007945827,0.0001155737,0.000004025818,0.00006090243,0.00003529593,0.0002441344,0.9889629,0.0006131147,0.0002931041,0.009532792],"study_design_scores_gemma":[0.00001705393,0.00007448084,0.0003076555,0.000008007704,0.000005060694,0.0001226035,0.000005885857,0.002623358,0.9917204,0.00008052439,0.005019684,0.00001523016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4971452,0.006591215,0.4839546,0.0003840224,0.0004825233,0.0007835634,0.001320755,0.002854983,0.006483114],"genre_scores_gemma":[0.5986138,0.002186044,0.3945267,0.0002119695,0.00006250891,0.0007271229,0.0007042615,0.0001172626,0.002850269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001283027,"threshold_uncertainty_score":0.00429213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760063961244974,"score_gpt":0.2178373659218049,"score_spread":0.2002367263093552,"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."}}