{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004635865,0.0001046204,0.0002498576,0.0001748043,0.000006063273,0.000005440954,0.0000418065,0.00006338565,0.0001894171],"category_scores_gemma":[0.00001696751,0.0001139053,0.00005052651,0.0002032962,0.00001213922,0.00007667607,0.00001967338,0.00006691834,0.000001055903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003268021,"about_ca_system_score_gemma":0.000004501603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003487085,"about_ca_topic_score_gemma":3.400945e-7,"domain_scores_codex":[0.9993318,0.00001316234,0.0002511752,0.0001688926,0.0001275577,0.0001073647],"domain_scores_gemma":[0.999638,0.00005921168,0.0001000912,0.0001543764,0.00001327095,0.00003511299],"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":[0.00003603753,0.00004776814,0.001289501,0.00004948032,0.0001018051,0.000004490978,0.0001186796,0.001285957,0.9960212,0.0001197746,2.49898e-7,0.0009250859],"study_design_scores_gemma":[0.0001970787,0.00001679997,0.005856778,0.0000416072,0.00007523176,0.00000274289,0.00005857518,0.02827272,0.965349,0.000001070248,0.00002929499,0.00009907105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9324957,0.0002439172,0.06706414,0.0000026905,0.00002981815,0.00004374545,0.00001488554,0.00001566783,0.00008951026],"genre_scores_gemma":[0.9986427,0.00001508106,0.001226109,0.000002498971,0.000007433332,0.000006183418,0.00005464199,0.00001861426,0.00002672282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06614709,"threshold_uncertainty_score":0.4644924,"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."}}