{"id":"W3093377980","doi":"10.3390/pr8101291","title":"Initiator Feeding Policies in Semi-Batch Free Radical Polymerization: A Monte Carlo Study","year":2020,"lang":"en","type":"article","venue":"Processes","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Polymerization; Radical polymerization; Polymer chemistry; Bulk polymerization; Dispersity; Monomer; Methyl methacrylate; Precipitation polymerization; Living free-radical polymerization; Chain transfer; Materials science; Polystyrene; Molar mass distribution; Chemistry; Polymer; Organic chemistry","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":[0.00002939443,0.0001774163,0.0002391006,0.00004376514,0.00008296213,0.00006723783,0.0002878528,0.00005885543,0.0002596752],"category_scores_gemma":[0.0005241761,0.000176088,0.00002605096,0.0004633488,0.00003989512,0.0002996985,0.00009778852,0.0001366404,0.000007054065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000236039,"about_ca_system_score_gemma":0.0000961894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000490266,"about_ca_topic_score_gemma":0.00003167685,"domain_scores_codex":[0.9989051,0.0000144835,0.0003123686,0.0003048689,0.0002339871,0.0002292072],"domain_scores_gemma":[0.9994767,0.00007572345,0.0001196412,0.0001621416,0.00005492421,0.0001109172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003460075,0.001183352,0.6069137,0.004205604,0.0001419412,0.0001152271,0.05450979,0.0001653597,0.320223,0.00009047653,0.0003227392,0.01178276],"study_design_scores_gemma":[0.002408603,0.0001524675,0.006422193,0.0003509636,0.0000884174,0.00001429569,0.0169287,0.001019045,0.9660392,0.0001120165,0.005560019,0.0009041041],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933942,0.002524399,0.0002962029,0.001717506,0.00004030802,0.0001017658,0.0000460444,0.0001745058,0.00170507],"genre_scores_gemma":[0.9988089,0.0001728025,0.00005283227,0.0003874761,0.0003739741,0.00006911321,0.0000135593,0.00003525979,0.00008609417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6458162,"threshold_uncertainty_score":0.7180659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238294693722857,"score_gpt":0.2540729103905079,"score_spread":0.2302434410182223,"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."}}