{"id":"W2900263254","doi":"10.1002/mren.201800062","title":"Modeling the Synthesis of Butyl Methacrylate Macromonomer by Sequential ATRP‐CCTP","year":2018,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macromonomer; Dispersity; Polymer chemistry; Methacrylate; Atom-transfer radical-polymerization; Polymerization; Chemistry; Molar mass; Materials science; Organic chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000144233,0.0003457481,0.0002987242,0.0001936224,0.0002597012,0.0002911468,0.0004368307,0.000648571,0.002683222],"category_scores_gemma":[0.0002750244,0.0002139799,0.0003236039,0.0001682312,0.0002240672,0.0003937317,0.0001546075,0.0003111725,0.0004173836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007624839,"about_ca_system_score_gemma":0.0006666728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004856735,"about_ca_topic_score_gemma":0.003137967,"domain_scores_codex":[0.9999434,0.000006523539,0.000001793127,0.00001326722,0.00001692586,0.00001815978],"domain_scores_gemma":[0.9999024,0.00004440705,0.00002124716,0.000007785252,0.00001389759,0.00001029154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004557341,0.00005456597,0.0004418544,0.0000713076,0.000008503372,0.0001286927,0.00002601221,0.9591811,0.03602348,0.001564596,0.00009411814,0.002360174],"study_design_scores_gemma":[0.000007896093,0.00003268442,0.0001482894,0.000001736183,0.000003258577,0.000009097696,0.000005304367,0.9914975,0.007905057,0.0001290862,0.0002576024,0.000002494626],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9340433,0.0002178797,0.05244401,0.000111956,0.00003284803,0.00009813008,0.0003408091,0.0002797437,0.01243133],"genre_scores_gemma":[0.9851552,0.0001755587,0.01060781,0.00001621651,0.000003286425,0.0001439697,0.0001372228,0.00004434618,0.003716459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004856735,"threshold_uncertainty_score":0.009656906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007300175807281176,"score_gpt":0.2136219579823301,"score_spread":0.2063217821750489,"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."}}