{"id":"W4389146438","doi":"10.1002/mren.202300046","title":"What Can Industrial Catalytic Olefin Polymerization Plants Tell Us About Reaction Kinetics? From Production Rate and Residence Time to Catalyst Reaction Performance.","year":2023,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Organometallic Complex Synthesis and Catalysis","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Polymerization; Catalysis; Residence time (fluid dynamics); Yield (engineering); Process engineering; Olefin polymerization; Polymer; Reaction rate; Process (computing); Chemical engineering; Materials science; Chemistry; Computer science; Organic chemistry; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002508318,0.0005599735,0.0005782516,0.0008068306,0.0001949633,0.001402734,0.0006860208,0.001582961,0.001504898],"category_scores_gemma":[0.00945895,0.0005153106,0.0003931226,0.0006182489,0.0007237728,0.002725739,0.0002978113,0.001488833,0.0008356722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006171668,"about_ca_system_score_gemma":0.0003005172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007741189,"about_ca_topic_score_gemma":0.0008634033,"domain_scores_codex":[0.9993765,0.000171563,0.00004483849,0.0001988834,0.0001651741,0.00004324265],"domain_scores_gemma":[0.9946456,0.003867054,0.0005772894,0.0005303427,0.0003208979,0.00005890842],"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":[0.001334977,0.0005954684,0.05022842,0.001999927,0.0002928756,0.0002671018,0.0003490494,0.06656096,0.6390538,0.009298017,0.002244011,0.2277754],"study_design_scores_gemma":[0.00003580721,0.001051823,0.03712235,0.0001410018,0.0003079314,0.0005375684,0.0003710116,0.1343929,0.7909963,0.01932815,0.01551505,0.0002000206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6100491,0.02258539,0.3413615,0.002378765,0.0001876413,0.00007933822,0.002752168,0.002498034,0.01810801],"genre_scores_gemma":[0.9772735,0.003476546,0.01765404,0.0001796658,0.00004908423,0.00002226838,0.0005579209,0.0001016981,0.0006852783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002508318,"threshold_uncertainty_score":0.01326537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112507930369435,"score_gpt":0.1925334224216738,"score_spread":0.1814083431179794,"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."}}