{"id":"W7117106072","doi":"10.1002/mren.70005","title":"A PLP‐SEC Investigation of Di(Ethylene Glycol) Methyl Ether Methacrylate Radical Polymerization Propagation Kinetics in Solution","year":2025,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Bulk polymerization; Monomer; Methyl methacrylate; Polymerization; Activation energy; Radical polymerization; Emulsion polymerization; Kinetics; Aqueous solution","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":[0.000276565,0.0004377087,0.0002443726,0.0002147575,0.0001866268,0.0002348072,0.0001853365,0.0002306322,0.00130954],"category_scores_gemma":[0.0003961771,0.0001658975,0.0001595353,0.0002407989,0.0001896858,0.0004446297,0.0001061882,0.0006975829,0.0005303834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751462,"about_ca_system_score_gemma":0.0002562565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007160699,"about_ca_topic_score_gemma":0.0004961002,"domain_scores_codex":[0.999885,0.00001229653,0.000006557526,0.00003539945,0.00004458697,0.00001618808],"domain_scores_gemma":[0.9997463,0.00009742799,0.00004959303,0.00001923689,0.00006711011,0.00002043462],"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":[0.00002206874,0.000008584963,0.00007808081,0.00001209408,0.000001719628,0.00001063193,0.00001213353,0.00004330548,0.99897,0.00002252694,0.00001108446,0.0008078421],"study_design_scores_gemma":[0.00000229161,0.00008051376,0.0006909358,0.000002131037,0.000003978123,0.0000276929,0.000006728932,0.001442425,0.9973978,0.00001499076,0.0003269202,0.000003785191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725487,0.000981696,0.0241617,0.0000642175,0.00002924312,0.00005020077,0.0005043413,0.0003299893,0.001329963],"genre_scores_gemma":[0.9801928,0.001086654,0.01535023,0.00003174339,0.000008724147,0.00006271875,0.0005096915,0.00009427616,0.002663095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00130954,"threshold_uncertainty_score":0.004380882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00556322823851853,"score_gpt":0.2150582107858904,"score_spread":0.2094949825473718,"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."}}