{"id":"W2074556295","doi":"10.1002/macp.201000432","title":"Polyethylene/Clay Nanocomposites Made with Metallocenes Supported on Different Organoclays","year":2010,"lang":"en","type":"article","venue":"Macromolecular Chemistry and Physics","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Montmorillonite; Exfoliation joint; Nanocomposite; Polymerization; Materials science; Polyethylene; Polymer chemistry; In situ polymerization; Catalysis; Polymer; Coordination polymerization; Chemical engineering; Dispersion (optics); Polymer clay; Methylaluminoxane; Ethylene; Chemistry; Composite material; Organic chemistry; Anionic addition polymerization; Metallocene; Graphene; Nanotechnology","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":[],"consensus_categories":[],"category_scores_codex":[0.00006270294,0.0003239829,0.0002839532,0.000007000113,0.0002164264,0.0001701537,0.0002595208,0.0001068883,0.0004200303],"category_scores_gemma":[0.000005509713,0.0002279722,0.00006907561,0.00009420598,0.0002130642,0.00008344071,0.0001018539,0.0002442935,0.00002744518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008981494,"about_ca_system_score_gemma":0.00003296885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002735588,"about_ca_topic_score_gemma":0.000001507271,"domain_scores_codex":[0.998745,0.00002958256,0.0001737658,0.0004385445,0.0002515463,0.0003615092],"domain_scores_gemma":[0.9992493,0.00003537031,0.00009126892,0.0004112146,0.00004381322,0.0001690447],"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":[0.00009484243,0.0001379336,0.0004792765,0.00007988315,0.00003543627,0.00003599804,0.0001048225,0.000005258229,0.9976595,0.0001451467,0.0000229168,0.001198967],"study_design_scores_gemma":[0.0004310193,0.0000969609,0.0002616601,0.00003527283,0.00006307733,0.00007543989,0.00001135849,0.00008582666,0.9977705,0.0002530924,0.0005576259,0.0003581364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972245,0.0002070545,0.0002714432,0.0001648684,0.00008741336,0.0001183928,0.00004843302,0.00008928729,0.001788586],"genre_scores_gemma":[0.9982761,0.00001439349,0.0006909392,0.0002100452,0.0001545717,0.00002014342,0.00005392948,0.0000384261,0.0005415236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001247062,"threshold_uncertainty_score":0.9296438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005230144387117305,"score_gpt":0.1962105265580449,"score_spread":0.1909803821709276,"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."}}