{"id":"W2971976392","doi":"10.1002/anie.200590085","title":"Generation of Monodisperse Particles by Using Microfluidics: Control over Size, Shape, and Composition","year":2005,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dispersity; Microfluidics; Nanotechnology; Anisotropy; Physics; Particle size; Materials science; Analytical Chemistry (journal); Chemistry; Physical chemistry; Polymer chemistry; Chromatography; Optics","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":[0.0007599008,0.0003264594,0.0003043059,0.000396704,0.0003764776,0.0007680946,0.0003487548,0.0004607864,0.0008873761],"category_scores_gemma":[0.0006746684,0.0002860888,0.0003345626,0.0002545942,0.0003871163,0.0006402999,0.0003808659,0.0004669758,0.0004220242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000603301,"about_ca_system_score_gemma":0.0004355355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004181283,"about_ca_topic_score_gemma":0.0006737197,"domain_scores_codex":[0.9996834,0.00003220209,0.00004079423,0.0001146884,0.00009336939,0.00003569848],"domain_scores_gemma":[0.9997568,0.00008428563,0.00004815691,0.00004097748,0.00004928491,0.0000205003],"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":[0.00004152151,0.00001962673,0.000145209,0.00009198168,0.000007165087,0.00004720528,0.0000655748,0.0002874328,0.9863021,0.00255362,0.0002984442,0.01014014],"study_design_scores_gemma":[0.00001264945,0.00003285177,0.0001557913,0.000003718882,0.000005446987,0.00004209304,0.000005543333,0.001483319,0.9920782,0.0003933103,0.005777859,0.000009206017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7448836,0.01120782,0.2282414,0.00265283,0.0009138644,0.0004031913,0.0008596255,0.00079678,0.01004086],"genre_scores_gemma":[0.8588535,0.004589673,0.1265157,0.0006410126,0.0001623593,0.0002997796,0.0004354003,0.0001535753,0.008348971],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0008873761,"threshold_uncertainty_score":0.004377306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837521245332784,"score_gpt":0.2536787995111192,"score_spread":0.2353035870577914,"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."}}