{"id":"W1969038878","doi":"10.1002/mren.201200002","title":"Effect of Hydrogen and External Donor on Propylene Polymerization Kinetics with a 4<sup>th</sup>‐Generation Ziegler‐Natta Catalyst","year":2012,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Organometallic Complex Synthesis and Catalysis","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Catalysis; Polymerization; Chemistry; Natta; Hydrogen; Activation energy; Ziegler–Natta catalyst; Reaction rate constant; Kinetics; Electron donor; Polymer chemistry; Reaction rate; Photochemistry; Physical chemistry; Organic chemistry; Polymer; Ethylene; Physics","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":[0.0002406796,0.0002948039,0.0002533172,0.0001012845,0.00007386258,0.0002328555,0.0003280099,0.0001633651,0.001424657],"category_scores_gemma":[0.0003794343,0.0001398415,0.0001104403,0.0001232368,0.0001705308,0.0002759003,0.0001054194,0.0003041849,0.0002408713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003533225,"about_ca_system_score_gemma":0.0001758492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008767871,"about_ca_topic_score_gemma":0.00108784,"domain_scores_codex":[0.9998871,0.00002012061,0.000005901597,0.00002286712,0.00003164864,0.00003217761],"domain_scores_gemma":[0.9998047,0.0001211791,0.00003052333,0.00001276016,0.00001370526,0.00001720356],"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":[0.0005432345,0.00003200474,0.0003371394,0.00007915646,0.00001571801,0.0000833757,0.00003963665,0.0004458218,0.9939778,0.0001895342,0.00008596123,0.004170584],"study_design_scores_gemma":[0.000009207039,0.00009464203,0.0005359469,0.000002173762,0.000008876034,0.00001609156,0.000005906644,0.0009040281,0.9980391,0.00001035553,0.0003702175,0.000003459769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968514,0.0006825231,0.0009084526,0.00003046412,0.00001184399,0.000007876403,0.00008671008,0.00005142779,0.001369272],"genre_scores_gemma":[0.9974068,0.0004683499,0.001019547,0.00001330048,0.000004446677,0.000008246894,0.00008160898,0.00002562324,0.0009721261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001424657,"threshold_uncertainty_score":0.004765987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004976658737064679,"score_gpt":0.1913599850358845,"score_spread":0.1863833262988198,"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."}}