{"id":"W2952522394","doi":"10.1002/mren.201900006","title":"Experimental Design and Statistical Analysis of AGET ATRP of MMA in Emulsion Polymer Reactor","year":2019,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Atom-transfer radical-polymerization; Dispersity; Methyl methacrylate; Monomer; Emulsion polymerization; Polymer; Polymerization; Polymer chemistry; Materials science; Chemical engineering; Radical polymerization; Methacrylate; 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":[0.00771868,0.0008720925,0.00112673,0.0006858272,0.0006169627,0.0008058889,0.0008405212,0.0007438464,0.002269587],"category_scores_gemma":[0.008676744,0.0004382908,0.001300713,0.0006389782,0.0006372595,0.0003436756,0.000569537,0.001032498,0.0004680677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094941,"about_ca_system_score_gemma":0.001208408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009170928,"about_ca_topic_score_gemma":0.0005126144,"domain_scores_codex":[0.990965,0.002992323,0.0007953508,0.001802362,0.002927005,0.0005180091],"domain_scores_gemma":[0.9920927,0.004287364,0.001167855,0.0009370209,0.001345499,0.0001694643],"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":[0.01662293,0.006289585,0.01392038,0.0008778608,0.0004375466,0.0001614125,0.0003285854,0.04525665,0.8488055,0.001909617,0.0003383425,0.06505153],"study_design_scores_gemma":[0.0006654865,0.05322001,0.04313023,0.00003209726,0.0005553165,0.0001117781,0.0001341514,0.1103608,0.7859313,0.0008109485,0.00490499,0.0001428791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.790122,0.0002149657,0.2016165,0.00004982575,0.0001190015,0.004839709,0.0009722831,0.0005309688,0.001534701],"genre_scores_gemma":[0.8170838,0.0002039282,0.1634087,0.0000821962,0.00004456418,0.01603173,0.001078558,0.0001728566,0.001893617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00771868,"threshold_uncertainty_score":0.04082078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005261398411504113,"score_gpt":0.2167460073624558,"score_spread":0.2114846089509517,"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."}}