{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005427162,0.0004034154,0.0003384012,0.0002607275,0.0002130691,0.000483353,0.0004068381,0.0003890278,0.00063174],"category_scores_gemma":[0.0007079013,0.0002378402,0.0001857858,0.0001520658,0.0003827434,0.0004524131,0.0003806683,0.0004413158,0.000284677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005871119,"about_ca_system_score_gemma":0.0002854044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005679785,"about_ca_topic_score_gemma":0.001094024,"domain_scores_codex":[0.9995798,0.00005346212,0.00004691799,0.0001520936,0.0001226977,0.00004488869],"domain_scores_gemma":[0.9996581,0.0001256234,0.00007838716,0.00003767799,0.00008081637,0.00001938713],"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":[0.00002195027,0.00001188657,0.00003205496,0.0000405486,0.00000197946,0.00001720334,0.00001853459,0.0001921019,0.9973355,0.000314503,0.00003418683,0.001979431],"study_design_scores_gemma":[0.000006147387,0.00003197292,0.00007960277,0.000001955789,0.000002081608,0.00002170173,0.000004233366,0.00117737,0.9975652,0.00005280509,0.001053832,0.000003042748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8825021,0.003007937,0.1061361,0.0003135434,0.0001344144,0.0002498917,0.0003343523,0.0008068718,0.006514758],"genre_scores_gemma":[0.9091899,0.001887267,0.08362016,0.0001484252,0.00004022733,0.0001778492,0.0002347887,0.0001863952,0.004514964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00063174,"threshold_uncertainty_score":0.004259765,"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."}}