{"id":"W2152160351","doi":"10.1002/anie.200462226","title":"Generation of Monodisperse Particles by Using Microfluidics: Control over Size, Shape, and Composition","year":2004,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":828,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences","keywords":"Dispersity; Microfluidics; Microchannel; Materials science; Rod; Nanotechnology; Polymerization; Colloid; Chemical engineering; Polymer chemistry; Polymer; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001017929,0.0001187662,0.0001154171,0.00007067911,0.00004116843,0.00002597361,0.00006354503,0.00008464668,0.00006469431],"category_scores_gemma":[0.0000186893,0.0001313161,0.00002925188,0.0001224825,0.00007707039,0.0003250877,0.00001344717,0.00008201238,0.00000172693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890895,"about_ca_system_score_gemma":0.00001418386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002553226,"about_ca_topic_score_gemma":3.237685e-7,"domain_scores_codex":[0.999303,0.000005450984,0.0002880229,0.0001348975,0.0001643542,0.0001042553],"domain_scores_gemma":[0.9996193,0.00001828248,0.00008058859,0.00007193693,0.0001866189,0.00002326318],"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":[0.00001463888,0.00003455702,0.0001028954,0.00001761956,0.00004534421,9.224967e-7,0.00009709407,0.0001146123,0.9920336,0.0009502216,0.005763656,0.0008248191],"study_design_scores_gemma":[0.0008991591,0.00002037579,0.0001689403,0.00004665716,0.000019793,0.00001160888,0.00002652267,0.005503391,0.9916791,0.000491094,0.00100629,0.0001270797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.757324,0.0003253335,0.2411832,0.0001242079,0.0003144343,0.0001174277,0.0002474485,0.0000857996,0.0002780693],"genre_scores_gemma":[0.9978754,0.0001020218,0.0008787481,0.0001916505,0.0003269517,0.00001503049,0.0005855964,0.00001785367,0.000006773136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2405513,"threshold_uncertainty_score":0.5354916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836210560063184,"score_gpt":0.2509691926629675,"score_spread":0.2326070870623357,"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."}}