{"id":"W3133184365","doi":"10.1002/cjce.24075","title":"Monomer transport in emulsion polymerization","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monomer; Damköhler numbers; Polymerization; Emulsion polymerization; Polymer chemistry; Polymer; Precipitation polymerization; Materials science; Chemistry; Chemical engineering; Radical polymerization; Organic chemistry","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":[0.00004254064,0.00007167416,0.0001188801,0.00004899119,0.00002130734,0.00001414239,0.0001069697,0.00006507286,0.000242657],"category_scores_gemma":[0.00005470728,0.00006149339,0.00005108439,0.0001305923,0.000014702,0.00008716527,0.000003157156,0.00020779,9.68986e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000902316,"about_ca_system_score_gemma":0.00014901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001482341,"about_ca_topic_score_gemma":0.00009973588,"domain_scores_codex":[0.9994547,0.000003552215,0.0002409031,0.00005919048,0.0000923763,0.0001492645],"domain_scores_gemma":[0.9996358,0.00002412257,0.00006393617,0.00009010962,0.00004179838,0.0001441957],"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":[0.000003782194,0.000004567393,0.001174435,0.00001444811,0.000008558518,0.00004714721,0.0001673975,0.002271623,0.9940941,0.00009203252,0.000002407488,0.002119469],"study_design_scores_gemma":[0.0001335582,0.000001340126,0.0004468949,0.00009078556,0.000009565041,0.00006340344,0.00002208853,0.001679231,0.9965178,0.00002022476,0.0009400544,0.00007505994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976707,0.0006836611,0.0008240508,0.0004076476,0.00009225731,0.000008279448,0.000004910806,0.000004798213,0.0003037702],"genre_scores_gemma":[0.9995964,0.000007779069,0.0001222906,0.00004126686,0.000155162,9.068885e-7,0.000009998708,0.00001453302,0.00005161824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002423662,"threshold_uncertainty_score":0.2656924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005709614127185467,"score_gpt":0.178254942816994,"score_spread":0.1725453286898085,"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."}}