{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003890843,0.0003740804,0.001130299,0.0001913726,0.0001857669,0.00006145862,0.0005737114,0.0001095485,0.003214529],"category_scores_gemma":[0.00005343815,0.0002604472,0.0002026365,0.0009472141,0.001808947,0.0004113969,0.00006127507,0.0002338679,6.633719e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004851862,"about_ca_system_score_gemma":0.0005746507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001308345,"about_ca_topic_score_gemma":0.000009042338,"domain_scores_codex":[0.9969552,0.00002417447,0.001087292,0.0004709024,0.001057144,0.0004053365],"domain_scores_gemma":[0.997286,0.00006742434,0.00145288,0.0005884476,0.0003344625,0.0002708221],"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":[0.001647922,0.0002662778,0.00125911,0.0001364082,0.0004260853,0.000006328266,0.0004595896,0.000008584871,0.9901373,0.00001652783,0.000009480767,0.005626381],"study_design_scores_gemma":[0.003480512,0.0001516244,0.0003332165,0.0002161469,0.0006410992,0.0003855403,0.0005089101,0.00002418621,0.9938937,0.000005275425,0.0000726531,0.0002871266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882501,0.009517143,0.00001564409,0.0002741282,0.00005516374,0.00007500752,0.00003008251,0.00001494599,0.001767763],"genre_scores_gemma":[0.9962438,0.0002088349,0.00008735032,0.00002422379,0.0001341097,0.000006595348,0.00001285218,0.0000319046,0.003250305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009308308,"threshold_uncertainty_score":0.9999848,"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."}}