{"id":"W1984972350","doi":"10.1002/app.13705","title":"Rheological and thermomechanical properties of long‐chain‐branched polyethylene prepared by slurry polymerization with metallocene catalysts","year":2004,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Branching (polymer chemistry); Rheology; Methylaluminoxane; Polyethylene; Dynamic mechanical analysis; Metallocene; Polymer; Polymerization; Polymer chemistry; Zirconium; Composite material","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":[0.0008313482,0.0002315163,0.000456847,0.0002076508,0.0002451653,0.0001205847,0.0006160503,0.0000864062,0.0000606411],"category_scores_gemma":[0.00003282476,0.0001412927,0.00005328313,0.0006443303,0.001595882,0.0006217075,0.0001427023,0.0001361965,0.000003060109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005129373,"about_ca_system_score_gemma":0.0005294672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006663676,"about_ca_topic_score_gemma":0.000005756557,"domain_scores_codex":[0.9975985,0.00005255288,0.0006602167,0.0003576629,0.0009429593,0.0003880539],"domain_scores_gemma":[0.9986225,0.0000249681,0.0006296632,0.0002642379,0.0001979141,0.0002606703],"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":[0.0005759456,0.0001258572,0.00004764195,0.00002874795,0.00002190152,0.000004883379,0.001831266,0.00003723063,0.994298,0.00174265,0.000003711336,0.001282201],"study_design_scores_gemma":[0.0009926615,0.0003779187,0.0001868796,0.00008396267,0.00005169486,0.0001396176,0.0003080147,0.00004623423,0.9974712,0.0001322434,0.000009291647,0.0002002621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876695,0.007178003,0.004121808,0.0003829581,0.0001301652,0.0001712794,0.00000735465,0.00003020383,0.0003087306],"genre_scores_gemma":[0.9988859,0.00009180012,0.0006578247,0.0002403709,0.00004053519,0.000007630277,0.000001400153,0.00001739417,0.00005712041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01121643,"threshold_uncertainty_score":0.5880095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00913312556452748,"score_gpt":0.2010545989895526,"score_spread":0.1919214734250251,"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."}}