{"id":"W4389388154","doi":"10.58837/chula.the.2016.1401","title":"SYNTHESIS OF POLYSTYRENE/SiO2 AND POLYISOPRENE/SiO2 NANOPARTICLES VIA RAFT EMULSION POLYMERIZATION","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Golden Jubilee (RGJ) Ph.D. Programme; Thailand Research Fund; Chulalongkorn University","keywords":"Raft; Emulsion polymerization; Polystyrene; Chain transfer; Monomer; Polymer chemistry; Methyl methacrylate; Polymerization; Materials science; Chemical engineering; Particle size; Nanoparticle; Reversible addition−fragmentation chain-transfer polymerization; Polymer; Radical polymerization; Nanotechnology; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006599191,0.0005422517,0.0007170825,0.00020984,0.0001855419,0.00004545155,0.0002488078,0.0005698152,0.002634675],"category_scores_gemma":[0.0001357595,0.0004402557,0.0001703876,0.0001640523,0.00008406978,0.0003069931,0.00005616184,0.0001342934,0.00002352727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000416267,"about_ca_system_score_gemma":0.00005491592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001100372,"about_ca_topic_score_gemma":0.00004174539,"domain_scores_codex":[0.997587,0.00004854512,0.0008733874,0.0006602408,0.0004425537,0.0003882223],"domain_scores_gemma":[0.9980453,0.0002602233,0.0008480522,0.0005560398,0.0001231061,0.0001672435],"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":[0.0001916633,0.00007601066,0.0005842047,0.0004058699,0.00006738095,0.000001321477,0.0001579102,2.46198e-7,0.7962691,0.0001520034,0.00001280502,0.2020815],"study_design_scores_gemma":[0.0002827625,0.00002297621,0.001475755,0.0009230516,0.0002007192,0.000004794113,0.0003041129,0.00006430967,0.9957519,0.000147639,0.0002992235,0.0005227677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808054,0.002786828,0.00074618,0.0001139252,0.0003661747,0.0001583549,0.0002185215,0.0001896615,0.01461494],"genre_scores_gemma":[0.9818237,0.001211312,0.0002216213,0.00002566944,0.0002107106,0.00007708446,0.0006375736,0.0001315347,0.01566073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2015587,"threshold_uncertainty_score":0.9998049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004623382774580988,"score_gpt":0.2215846426915086,"score_spread":0.2169612599169276,"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."}}