{"id":"W2022379581","doi":"10.1002/pen.23963","title":"Mixing effect on emulsion polymerization in a batch reactor","year":2014,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mixing (physics); Materials science; Emulsion polymerization; Emulsion; Polymerization; Chemical engineering; Composite material; Polymer","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":[0.0003951332,0.0001276729,0.0001140719,0.0003818935,0.00004323976,0.00003685759,0.000109767,0.00004409819,0.000002990776],"category_scores_gemma":[0.00007091645,0.0001198085,0.00001074029,0.0009603639,0.00006057443,0.0001680009,0.0000233237,0.0001346863,0.000003719191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006046836,"about_ca_system_score_gemma":0.000006013301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001116906,"about_ca_topic_score_gemma":9.668128e-8,"domain_scores_codex":[0.9992566,0.000007118295,0.0001537603,0.0001893076,0.0001555883,0.0002377029],"domain_scores_gemma":[0.9997434,0.00004472338,0.00001542198,0.0001410773,0.00001717931,0.00003817249],"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":[0.000002668623,0.000003429174,0.0002958566,0.00002250579,0.000001068678,4.689129e-7,0.0001035959,0.0001886605,0.9671084,0.003821663,0.00001263838,0.02843907],"study_design_scores_gemma":[0.000128574,0.00007783175,0.002668447,0.00007469011,0.000001369427,0.000003835448,0.000004696708,0.07325505,0.923371,0.00001375044,0.0002626202,0.0001381731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9041444,0.0001903916,0.09357651,0.00002838234,0.0002465917,0.0000775707,9.920939e-7,0.0002778079,0.001457378],"genre_scores_gemma":[0.9996445,0.000005985145,0.000218816,0.00003698779,0.00004219927,0.00001208698,0.000003414591,0.00001663707,0.00001940906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09550008,"threshold_uncertainty_score":0.4885647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004508765223159498,"score_gpt":0.2090707583854093,"score_spread":0.2045619931622498,"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."}}