{"id":"W2136074156","doi":"10.1002/pen.20798","title":"The rheological and physical properties of linear and branched polypropylene blends","year":2007,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia; Queen's University","funders":"Université Laval","keywords":"Materials science; Miscibility; Rheology; Polypropylene; Composite material; Melt flow index; Crystallization; Flow properties; Strain hardening exponent; Hardening (computing); Extensional definition; Copolymer; Polymer; Chemical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005593441,0.00009202927,0.0001132143,0.00005135136,0.0002658422,0.00007216795,0.0001292042,0.00002296792,0.000002843673],"category_scores_gemma":[0.00009244535,0.00005177041,0.00001043834,0.0001650561,0.001087894,0.0001558338,0.0001136811,0.00005412943,7.059328e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004332863,"about_ca_system_score_gemma":0.00002982567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003010376,"about_ca_topic_score_gemma":0.000001853766,"domain_scores_codex":[0.9992144,0.0000108844,0.0001334219,0.0001933167,0.0001897129,0.0002582812],"domain_scores_gemma":[0.9996697,0.00005677019,0.00003037296,0.0001055989,0.00002984011,0.0001077049],"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":[0.00001745576,0.000006236607,0.0002232578,0.000019639,0.000001356585,4.240707e-7,0.001020648,0.00001134542,0.9920441,0.003173825,4.711033e-7,0.003481255],"study_design_scores_gemma":[0.00009763955,0.00005167184,0.002089978,0.00002275606,0.000004394069,0.00001624416,0.0001551804,0.01264091,0.9847201,0.00002441261,0.00008804265,0.0000887011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904333,0.008247371,0.0008732589,0.0001730483,0.00009529959,0.0000452571,0.00000126011,0.00003816357,0.00009302888],"genre_scores_gemma":[0.9994665,0.000134394,0.0001789727,0.00002956279,0.0000401664,0.000002371667,7.020001e-8,0.000004879212,0.0001430468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01262956,"threshold_uncertainty_score":0.4008391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398922730645731,"score_gpt":0.2223880268801051,"score_spread":0.2083987995736478,"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."}}