{"id":"W2334408208","doi":"10.1021/ma1026302","title":"High Solids Nitroxide-Mediated Microemulsion Polymerization of MMA with a Small Amount of Styrene and Synthesis of (MMA-<i>co</i>-St)-<i>block</i>-(BMA-<i>co</i>-St) Polymers","year":2011,"lang":"en","type":"article","venue":"Macromolecules","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Styrene; Microemulsion; Polymer chemistry; Methyl methacrylate; Polymerization; Nitroxide mediated radical polymerization; Monomer; Polymer; Copolymer; Materials science; Particle size; Molar mass distribution; Emulsion polymerization; Radical polymerization; Chemistry; Pulmonary surfactant; Physical chemistry; Composite material","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":[0.0001437744,0.0004665765,0.0002231618,0.000154698,0.0001119784,0.0001616162,0.0001882747,0.0002595866,0.0005558541],"category_scores_gemma":[0.0001156116,0.0001810069,0.0003228998,0.0001087718,0.0001587125,0.0002612894,0.0002411321,0.0005367686,0.0003629203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002046928,"about_ca_system_score_gemma":0.0002094956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002385924,"about_ca_topic_score_gemma":0.0005627646,"domain_scores_codex":[0.9999193,0.000008886846,0.000008093017,0.00002389748,0.00002510415,0.00001468845],"domain_scores_gemma":[0.999893,0.00001927729,0.00004132409,0.000009163738,0.00001579185,0.00002151961],"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":[0.000005606886,0.000005387094,0.00001662695,0.00001799826,0.000001516373,0.00001051998,0.000007118448,0.00003265508,0.9994343,0.00003740779,0.000004825443,0.0004260333],"study_design_scores_gemma":[0.000002325715,0.00005995999,0.0001825193,0.000001244922,0.000002816945,0.00002570585,0.0000018337,0.0002970281,0.9989994,0.000007583351,0.0004177559,0.00000176635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810314,0.001020843,0.01628781,0.00005400044,0.00002362428,0.00004302393,0.00009330511,0.0001589279,0.001287035],"genre_scores_gemma":[0.97899,0.000833705,0.01796292,0.00002480515,0.00001267764,0.00004469013,0.0001161068,0.00005886981,0.001956085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005558541,"threshold_uncertainty_score":0.001859486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009273675466112465,"score_gpt":0.1986866021548803,"score_spread":0.1894129266887679,"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."}}