{"id":"W4387817630","doi":"10.1002/cjce.25120","title":"Mass transfer in emulsion polymerization: An experimental and modelling study","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Polymerization; Emulsion polymerization; Chain transfer; Precipitation polymerization; Bulk polymerization; Chain-growth polymerization; Monomer; Polymer chemistry; Interphase; Molar mass distribution; Materials science; Chemical engineering; Radical polymerization; Chemistry; Polymer; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001249119,0.00008321129,0.0001142615,0.0001611386,0.00002527484,0.0000284974,0.00009276737,0.00003669625,0.00001772433],"category_scores_gemma":[0.000003172801,0.00007219573,0.00002181668,0.0002117232,0.00001241843,0.0001207648,0.000001201933,0.0001754654,0.000001095711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000439448,"about_ca_system_score_gemma":0.00002319419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001370126,"about_ca_topic_score_gemma":0.0001164073,"domain_scores_codex":[0.9994736,0.000006964988,0.0002093554,0.00005393477,0.00009869132,0.0001575022],"domain_scores_gemma":[0.9996958,0.00001325344,0.000006600848,0.00006321535,0.00001161332,0.0002095669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003407597,0.00000380008,0.0001765313,0.000007924967,0.000007677236,0.00003440482,0.001946688,0.7408818,0.2568262,0.00005262142,0.000003455262,0.00005552629],"study_design_scores_gemma":[0.0004577945,0.00003414529,0.0002372835,0.00003093891,0.000008775792,0.00002476084,0.000244826,0.8125053,0.1862653,0.00001397126,0.00005495813,0.0001219138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961375,0.0001945161,0.003354432,0.00005003032,0.0001185137,0.00006719599,0.000001489226,0.00002952238,0.0000468037],"genre_scores_gemma":[0.9998187,0.000004107908,0.00007601927,0.00001068082,0.0000616134,0.000002373506,0.000002660568,0.00001962232,0.000004266064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07162353,"threshold_uncertainty_score":0.2944056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01584049303481626,"score_gpt":0.2145084143848132,"score_spread":0.198667921349997,"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."}}