{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009698021,0.0004061238,0.0001921167,0.0002038971,0.0001044732,0.0001211887,0.0001389278,0.0002445584,0.0007136281],"category_scores_gemma":[0.00008506837,0.0001830816,0.0002527926,0.0001465155,0.000106415,0.000305913,0.000156934,0.0002657109,0.0003025329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001959422,"about_ca_system_score_gemma":0.0001570695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004022039,"about_ca_topic_score_gemma":0.0009471289,"domain_scores_codex":[0.9999326,0.000004494521,0.000005747035,0.00002165519,0.00002325608,0.00001224133],"domain_scores_gemma":[0.9999595,0.000006705804,0.00001185891,0.000003607677,0.000009696269,0.000008780901],"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":[0.00001651363,0.000009599713,0.00003301547,0.00005286277,0.000003597871,0.00003177929,0.000006659408,0.0001654903,0.9980597,0.0001009178,0.00003029843,0.001489563],"study_design_scores_gemma":[0.000009164381,0.00008355736,0.0008525732,0.000002996722,0.000007831336,0.00007188408,0.000005901798,0.001717815,0.9954397,0.00005983483,0.001743802,0.000005045511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577539,0.003008514,0.03156586,0.0001032396,0.00006622163,0.0001414577,0.0006290475,0.0003573828,0.006374381],"genre_scores_gemma":[0.9671414,0.001663295,0.02525266,0.00008191395,0.00002372879,0.0001381814,0.0005243839,0.00005693017,0.005117516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007136281,"threshold_uncertainty_score":0.002387285,"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."}}