{"id":"W2523406881","doi":"10.1002/mren.201600035","title":"In Situ Use of Aqueous RAFT Prepared Poly(2‐(diethylamino)ethyl methacrylate) as a Stabilizer for Preparation of CO<sub>2</sub> Switchable Latexes","year":2016,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chain transfer; Comonomer; Polymer chemistry; Emulsion polymerization; Raft; Styrene; Methyl methacrylate; Polystyrene; Copolymer; Methacrylate; Materials science; Polymerization; Reversible addition−fragmentation chain-transfer polymerization; Aqueous solution; Radical polymerization; Chemistry; Chemical engineering; Polymer; Organic chemistry","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":[0.0001858809,0.0005620139,0.0002748548,0.0001509538,0.0001217697,0.0002573272,0.0002067124,0.0003141548,0.0008074801],"category_scores_gemma":[0.0002360035,0.0002201747,0.0002004843,0.00009945926,0.0001934805,0.0003537676,0.0002472404,0.0004169261,0.0003489263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002283882,"about_ca_system_score_gemma":0.0001478021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002862244,"about_ca_topic_score_gemma":0.0005845298,"domain_scores_codex":[0.9998785,0.00001664166,0.000007591299,0.0000402285,0.000030133,0.00002684738],"domain_scores_gemma":[0.9998012,0.00005864207,0.00006898986,0.00001889149,0.00002756468,0.00002468035],"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":[0.00001111436,0.000003527654,0.00001075319,0.00000993035,0.000001247139,0.00001140995,0.000004532873,0.00002425494,0.9996643,0.000006808647,0.000005066956,0.0002471106],"study_design_scores_gemma":[0.000001293583,0.00002024799,0.0001044467,4.85977e-7,0.000002138654,0.00001651394,0.000001318503,0.0001773273,0.9995186,0.000002371484,0.0001540769,0.000001057112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799011,0.0007749344,0.01713001,0.00009390914,0.00003732139,0.00004498352,0.0001361792,0.0002396266,0.001642028],"genre_scores_gemma":[0.983508,0.0006400732,0.01308237,0.00005103374,0.00001477173,0.00004463306,0.0001287502,0.00008307738,0.002447324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008074801,"threshold_uncertainty_score":0.002701342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009190206501673136,"score_gpt":0.2436778600065591,"score_spread":0.234487653504886,"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."}}