{"id":"W4205733297","doi":"10.32920/ryerson.14657355.v1","title":"Optimization and Modeling of an Emulsion Polymerization Reactor","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Monomer; Polymerization; Emulsion polymerization; Polymer; Vinyl acetate; Chemical engineering; Batch reactor; Materials science; Emulsion; Chain transfer; Bulk polymerization; Polymer chemistry; Chemistry; Organic chemistry; Radical polymerization; Catalysis; Copolymer; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00003334409,0.0002050803,0.0002930968,0.00005962791,0.00003831239,0.00006696325,0.00010307,0.000322664,0.0006712688],"category_scores_gemma":[0.00003231064,0.0002126596,0.00005187626,0.00005355874,0.0000205388,0.0002615933,0.0002017025,0.0001562821,1.744421e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002143663,"about_ca_system_score_gemma":0.00003819146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006214868,"about_ca_topic_score_gemma":0.000004123446,"domain_scores_codex":[0.9988696,0.00002335843,0.000398724,0.0004222462,0.0001733963,0.0001127055],"domain_scores_gemma":[0.9991074,0.00001701354,0.0002903919,0.0004019657,0.0001155212,0.00006774139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002341904,0.00009770842,0.0001147957,0.0003956078,0.00002967208,0.000001120245,0.0004059622,0.2207852,0.7635787,0.00005083317,3.559986e-7,0.01451667],"study_design_scores_gemma":[0.00007772695,0.000004077179,0.000007705478,0.0001700357,0.00003027454,0.000001503327,0.0001991555,0.6133198,0.3860195,0.00002112032,0.000002916315,0.000146164],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6039345,0.0004027551,0.3939298,0.00002502249,0.00009329538,0.00004896418,0.00003535372,0.00007240873,0.001457843],"genre_scores_gemma":[0.9786571,0.00066557,0.01786788,0.00001918898,0.0001188771,0.00001247662,0.002464461,0.00004407226,0.0001503603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3925346,"threshold_uncertainty_score":0.8672007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966307665726405,"score_gpt":0.2538849844797963,"score_spread":0.2342219078225323,"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."}}