{"id":"W2057982128","doi":"10.1002/(sici)1521-3935(20000301)201:5<552::aid-macp552>3.0.co;2-a","title":"Effect of hydrogen on ethylene polymerization using in-situ supported metallocene catalysts","year":2000,"lang":"en","type":"article","venue":"Macromolecular Chemistry and Physics","topic":"Organometallic Complex Synthesis and Catalysis","field":"Chemistry","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metallocene; Polymer chemistry; Ethylene; Catalysis; Polymerization; Materials science; Post-metallocene catalyst; Hydrogen; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000111849,0.0002482922,0.0004085227,0.00001143414,0.00005076843,0.00001858342,0.0001502164,0.0001096434,0.002559994],"category_scores_gemma":[0.00001545118,0.0002488363,0.0001538473,0.0002713937,0.00007630982,0.00004815137,0.00003854078,0.0001255762,0.000005045033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002899863,"about_ca_system_score_gemma":0.00002321286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004120485,"about_ca_topic_score_gemma":6.539427e-7,"domain_scores_codex":[0.9988945,0.00003244348,0.0002778657,0.0003605161,0.0002153243,0.0002194226],"domain_scores_gemma":[0.999347,0.00004943391,0.0001073754,0.0004018968,0.00001543103,0.00007882059],"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":[0.00006801642,0.0001100917,0.0001627696,0.0003159014,0.000117978,0.00002341533,0.0000705784,0.0001038225,0.9354231,0.000004432041,3.345879e-7,0.06359958],"study_design_scores_gemma":[0.0004829906,0.00002229495,0.00004078703,0.0000630312,0.0001862672,0.00001492358,0.00000797136,0.0008483118,0.9979218,0.00003983966,0.0001479699,0.0002238556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879475,0.0002906363,0.00003549437,0.000008417741,0.000004897451,0.00004434795,0.00003204634,0.00002176178,0.01161488],"genre_scores_gemma":[0.9992017,0.00003908837,0.00003153759,0.00001188414,0.00005232049,0.000006620582,0.0002626267,0.00003130909,0.0003629046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06337573,"threshold_uncertainty_score":0.9999964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006236028426127713,"score_gpt":0.2233771601637684,"score_spread":0.2171411317376407,"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."}}