{"id":"W2017332605","doi":"10.1002/pen.11299","title":"Binary blends of metallocene polyethylene with conventional polyolefins: Rheological and morphological properties","year":2000,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Inha University","keywords":"Materials science; Polyethylene; Rheology; High-density polyethylene; Metallocene; Polypropylene; Composite material; Post-metallocene catalyst; Dynamic modulus; Dynamic mechanical analysis; Polymer chemistry; Chemical engineering; Polymer; Polymerization","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":[0.000191502,0.000352361,0.0003060268,0.0005409747,0.0001171125,0.0003293153,0.0002674193,0.000327613,0.001262222],"category_scores_gemma":[0.0006353224,0.0001873348,0.0001359941,0.0006101144,0.0001763374,0.0004364779,0.0002183016,0.0003242843,0.0001824412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002608785,"about_ca_system_score_gemma":0.00008844576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004397004,"about_ca_topic_score_gemma":0.0008549323,"domain_scores_codex":[0.9997889,0.00002546092,0.00002215301,0.00005044216,0.00007185149,0.00004112005],"domain_scores_gemma":[0.9997765,0.00005437484,0.00005728473,0.0000184354,0.00004347731,0.0000498005],"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":[0.0002258717,0.00002941129,0.0003241643,0.00005284796,0.00001162241,0.0000389106,0.00002270922,0.00008953173,0.9979895,0.00003774986,0.00001270391,0.001164884],"study_design_scores_gemma":[0.00002412282,0.0002618124,0.003035785,0.000007478867,0.00002435625,0.00005813513,0.00002492179,0.0005626056,0.9952501,0.00001242026,0.0007329937,0.000005229886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984792,0.0005093506,0.0003906207,0.00001226982,0.000008101053,0.00001116717,0.00007990307,0.00001762413,0.0004918366],"genre_scores_gemma":[0.9977475,0.0002830308,0.000950591,0.000009867821,0.000003689168,0.00001421756,0.0001378593,0.00001738982,0.000835896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001262222,"threshold_uncertainty_score":0.004222512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461193434831829,"score_gpt":0.1985220024531188,"score_spread":0.1839100681048005,"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."}}