{"id":"W2031827067","doi":"10.1039/b712917c","title":"Simultaneous generation of droplets with different dimensions in parallel integrated microfluidic droplet generators","year":2007,"lang":"en","type":"article","venue":"Soft Matter","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Fundacja na rzecz Nauki Polskiej","keywords":"Microfluidics; Generator (circuit theory); Coupling (piping); Parametric statistics; Flow (mathematics); Mechanics; Materials science; Distribution (mathematics); Nanotechnology; Physics; Power (physics); Thermodynamics; Mathematics; Composite material","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":[0.0001654493,0.0002055821,0.0002142513,0.0002726813,0.00003002846,0.00001364043,0.00009347477,0.0001091934,0.00008722316],"category_scores_gemma":[0.00001069723,0.0001649199,0.00002565518,0.0004916922,0.0000579706,0.0000667781,0.00002131433,0.000197098,0.00002036475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001359258,"about_ca_system_score_gemma":0.00001612993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001976661,"about_ca_topic_score_gemma":0.00001747334,"domain_scores_codex":[0.9989549,0.00001459874,0.0004479704,0.0001790954,0.0001415627,0.0002618661],"domain_scores_gemma":[0.9995427,0.00003555476,0.00005724874,0.0002074219,0.0001285803,0.00002848044],"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":[0.00001979597,0.00004588738,0.006677266,0.0000329943,0.0000234263,0.00002316811,0.0003215819,0.0002095002,0.9806333,0.0002196286,0.008989159,0.002804362],"study_design_scores_gemma":[0.0004193686,0.00005698527,0.00330085,0.00006149597,0.000009990212,0.00001892187,0.0001021638,0.002976746,0.9909794,0.00005064386,0.001771706,0.0002517777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6341839,0.0001765666,0.3651375,0.00002544415,0.0000832872,0.0001528508,0.000009449066,0.0000892667,0.0001417468],"genre_scores_gemma":[0.9976285,0.00001633671,0.001660797,0.0003511153,0.00004095114,0.0000159321,0.000173688,0.00004456002,0.00006818624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3634767,"threshold_uncertainty_score":0.672524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029619975699591,"score_gpt":0.2207945700620433,"score_spread":0.2104983703050474,"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."}}