{"id":"W2059930236","doi":"10.1002/marc.200400211","title":"Synthesis of Polystyrene and Polystyrene/Poly(methyl methacrylate) Nanoparticles","year":2004,"lang":"en","type":"article","venue":"Macromolecular Rapid Communications","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polystyrene; Methyl methacrylate; High-resolution transmission electron microscopy; Ammonium persulfate; Materials science; Microemulsion; Nanoparticle; Poly(methyl methacrylate); Polymerization; Polymer chemistry; Particle size; Chemical engineering; Emulsion polymerization; Sodium dodecyl sulfate; Pulmonary surfactant; Polymer; Chemistry; Nanotechnology; Organic chemistry; Transmission electron microscopy; Composite material","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":[0.0002036686,0.0003550285,0.0001734983,0.0002084635,0.0001788584,0.0001423682,0.0001680376,0.0002631262,0.00136215],"category_scores_gemma":[0.0001809166,0.000129758,0.0001816092,0.0001408942,0.0001131262,0.0001716861,0.0001379546,0.0002330745,0.0007371029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003310021,"about_ca_system_score_gemma":0.0002919061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005660699,"about_ca_topic_score_gemma":0.0012159,"domain_scores_codex":[0.999916,0.000008176105,0.000009246311,0.00001964537,0.0000319485,0.00001494948],"domain_scores_gemma":[0.9999275,0.00001080453,0.00001193866,0.000007842814,0.00002270075,0.00001921496],"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":[0.00003062058,0.00001290102,0.0000245095,0.00006049146,0.000003764013,0.00003054443,0.00001203876,0.0002036471,0.997022,0.000319814,0.0001092235,0.002170385],"study_design_scores_gemma":[0.00001452197,0.00006931973,0.0003209882,0.000004423481,0.00000734221,0.00004198468,0.000005967587,0.001026061,0.9945307,0.0001224226,0.003852595,0.000003736205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313729,0.004894033,0.04666277,0.0004099139,0.0002828474,0.0002844287,0.001082057,0.0004335117,0.01457745],"genre_scores_gemma":[0.9350526,0.002163141,0.04474189,0.0001709496,0.00004825822,0.000228479,0.0009119927,0.00009631429,0.01658637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00136215,"threshold_uncertainty_score":0.004556835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329817132617321,"score_gpt":0.2470106268915057,"score_spread":0.2337124555653325,"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."}}