{"id":"W2044294154","doi":"10.1002/mren.200900007","title":"Modeling of the Nitroxide‐Mediated Radical Copolymerization of Styrene and Divinylbenzene","year":2009,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Copolymer; Divinylbenzene; Nitroxide mediated radical polymerization; Styrene; Polymer chemistry; Monomer; Radical polymerization; Polymerization; Kinetics; Polymer; Materials science; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003968365,0.0005678675,0.000490039,0.0002915418,0.0002657859,0.000553545,0.0008180279,0.001049291,0.001574909],"category_scores_gemma":[0.0005581303,0.0003758606,0.0004837034,0.0001631831,0.0003668811,0.0005452108,0.0002511159,0.0005015812,0.0003301738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065953,"about_ca_system_score_gemma":0.0007903772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0100268,"about_ca_topic_score_gemma":0.004462455,"domain_scores_codex":[0.999911,0.00002362668,0.000003687167,0.00001643324,0.00002653455,0.00001867433],"domain_scores_gemma":[0.9997765,0.0001286161,0.00003849698,0.00000969053,0.00003612665,0.00001055929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002200913,0.00002076031,0.0001332285,0.00003576341,0.000006245025,0.00003638412,0.000022568,0.9840883,0.01140861,0.00297429,0.00006880795,0.001183018],"study_design_scores_gemma":[0.000002858372,0.000008647537,0.00003410191,0.00000142322,0.000001436011,0.000003193437,0.000001589488,0.9985025,0.001166758,0.0001337561,0.0001422095,0.000001519924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3709606,0.0007681834,0.6114292,0.000433265,0.00006041248,0.0001835814,0.000324541,0.0004765547,0.01536363],"genre_scores_gemma":[0.9610574,0.0004971183,0.02414253,0.0000484131,0.00001185667,0.0003564014,0.0001492469,0.00008882039,0.01364824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0100268,"threshold_uncertainty_score":0.01993692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003647417721240635,"score_gpt":0.180241022292927,"score_spread":0.1765936045716864,"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."}}