{"id":"W2607648677","doi":"10.1021/acs.langmuir.7b00773","title":"Nanoparticle Size Control in Microemulsion Synthesis","year":2017,"lang":"en","type":"article","venue":"Langmuir","topic":"Surfactants and Colloidal Systems","field":"Chemistry","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Microemulsion; Micelle; Particle size; Dispersity; Nanoparticle; Nanocrystal; Hydrodynamic radius; Chemical engineering; RADIUS; Nanotechnology; Chemical physics; Materials science; Ion; Chemistry; Dynamic light scattering; Pulmonary surfactant; Organic chemistry; Physical chemistry; Aqueous solution; Computer science","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":[0.00009584505,0.00008173018,0.0001615394,0.00000882321,0.0001623293,0.00008973798,0.0002459654,0.00006610086,0.0007636219],"category_scores_gemma":[0.000224147,0.00006825259,0.00004368497,0.00001793343,0.00002737104,0.00007857551,0.00003517166,0.00006260458,0.0001304546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003161662,"about_ca_system_score_gemma":0.000007955147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006313878,"about_ca_topic_score_gemma":0.0001606741,"domain_scores_codex":[0.9993973,0.00001271251,0.0001376961,0.0001513613,0.00009940681,0.0002015069],"domain_scores_gemma":[0.9993857,0.0001200942,0.00008163975,0.0003561547,0.00001486248,0.00004157321],"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":[0.00004050663,0.00003842505,0.1580114,0.0000234474,0.00000932317,0.00002858589,0.00008048044,7.888585e-7,0.8382838,0.00003717343,0.0002914181,0.003154645],"study_design_scores_gemma":[0.001783234,0.00000885419,0.2275453,0.0001358492,0.00001926714,0.000009180423,0.00026332,0.0004511018,0.7411263,0.00009604903,0.02827719,0.0002843957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694987,0.00008349596,0.00000111184,0.0004348736,0.00007517631,0.00003713073,0.00001799256,0.00003698669,0.02981456],"genre_scores_gemma":[0.9970624,0.000003135961,0.0000123259,0.00006236318,0.00008870698,0.00002438476,3.904161e-7,0.00001230405,0.00273395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09715751,"threshold_uncertainty_score":0.8361124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009669774069580762,"score_gpt":0.2305889118528225,"score_spread":0.2209191377832418,"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."}}