{"id":"W2122476305","doi":"10.1002/(sici)1099-0518(20000501)38:9<1427::aid-pola4>3.0.co;2-y","title":"Copolymerization of ethylene and ?-olefins with combined metallocene catalysts. III. Production of polyolefins with controlled microstructures","year":2000,"lang":"en","type":"article","venue":"Journal of Polymer Science Part A Polymer Chemistry","topic":"Organometallic Complex Synthesis and Catalysis","field":"Chemistry","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Comonomer; Metallocene; Polymer chemistry; Polymer; Post-metallocene catalyst; Copolymer; Materials science; Ethylene; Catalysis; Polymerization; Chemical engineering; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001269092,0.0003660879,0.0002355525,0.0002033215,0.0001059338,0.000192885,0.0001459956,0.0002391238,0.001529901],"category_scores_gemma":[0.00021157,0.000167674,0.0002446428,0.0001758215,0.0001222435,0.0003267225,0.0001936069,0.0003703462,0.0004875717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002351583,"about_ca_system_score_gemma":0.0001329344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004691321,"about_ca_topic_score_gemma":0.00106353,"domain_scores_codex":[0.9998835,0.0000111884,0.000008105379,0.00002454792,0.00002259332,0.00004995782],"domain_scores_gemma":[0.999934,0.00001119155,0.00001797929,0.00000694887,0.000006865091,0.00002301517],"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":[0.0000862331,0.00002073816,0.00007232273,0.00004486828,0.000007854321,0.00004915566,0.00001196055,0.00009816549,0.9978654,0.0001245128,0.00003397841,0.001584874],"study_design_scores_gemma":[0.00001654222,0.0001139275,0.0005441254,0.000003462791,0.000009757109,0.00005549498,0.000003783099,0.0003910034,0.9973688,0.00002096756,0.001469123,0.000002957259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881051,0.002177543,0.00542973,0.00008159787,0.00009029167,0.00006202018,0.0001172901,0.0001105876,0.003825758],"genre_scores_gemma":[0.9934069,0.0008580284,0.002435682,0.00002683635,0.00001667429,0.00002114073,0.0001145171,0.00003957405,0.00308053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001529901,"threshold_uncertainty_score":0.005118012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004492406959989553,"score_gpt":0.1971328177614613,"score_spread":0.1926404108014718,"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."}}