{"id":"W4256674070","doi":"10.1002/ange.200590085","title":"Generation of Monodisperse Particles by Using Microfluidics: Control over Size, Shape, and Composition","year":2005,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Humanities; Physics; Chemistry; Philosophy","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":[0.0006847976,0.000373698,0.0003641953,0.0003475391,0.0003310854,0.0007396702,0.0003073323,0.0005816327,0.0006536448],"category_scores_gemma":[0.0006605756,0.000314927,0.0004259211,0.0002356403,0.0004212814,0.0006936117,0.0005372024,0.000507798,0.0004895472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005018021,"about_ca_system_score_gemma":0.0003805101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003810764,"about_ca_topic_score_gemma":0.0005249981,"domain_scores_codex":[0.9997361,0.00002990793,0.00003002591,0.00008458182,0.00008338731,0.00003590064],"domain_scores_gemma":[0.9998071,0.00006276221,0.00003849731,0.00003161847,0.00003828503,0.00002178831],"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":[0.00006364585,0.00002019461,0.0001317796,0.000113704,0.000009155407,0.00004197633,0.00007306141,0.00032757,0.9852965,0.00154534,0.0002923164,0.01208464],"study_design_scores_gemma":[0.00001938653,0.00006188064,0.0002448386,0.000006492161,0.00001122485,0.00005838601,0.00001260526,0.002605613,0.9884673,0.0005757798,0.007917131,0.00001941389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6979258,0.02207106,0.2669566,0.002434438,0.001114898,0.0003294949,0.0006556596,0.0008992917,0.007612827],"genre_scores_gemma":[0.84025,0.01085197,0.1394136,0.0006543994,0.0001991176,0.0003488732,0.0005491332,0.0001803755,0.007552565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007396702,"threshold_uncertainty_score":0.003640831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109005314385486,"score_gpt":0.2446166444880386,"score_spread":0.2235265913441837,"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."}}