{"id":"W1989509467","doi":"10.1016/j.polymer.2008.07.007","title":"Coagent-induced transformations of polypropylene microstructure: Evolution of bimodal architectures and cross-linked nano-particles","year":2008,"lang":"en","type":"article","venue":"Polymer","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Dow Chemical Company","keywords":"Branching (polymer chemistry); Polypropylene; Polymer chemistry; Chain scission; Materials science; Molar mass; Fragmentation (computing); Microstructure; Molar mass distribution; Nano-; Homogeneous; Polymerization; Population; Chemical engineering; Precipitation; Particle size; Chemistry; Polymer; Composite material; Thermodynamics; Physical chemistry; Physics","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":[0.00002716459,0.000140898,0.0002136517,0.00006718822,0.0001216954,0.000007463901,0.00009418358,0.00009846069,0.0001858491],"category_scores_gemma":[0.00001753122,0.0001273789,0.00007358348,0.000108642,0.0002140202,0.0001017032,0.00002006142,0.00007542306,0.000001412621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001661947,"about_ca_system_score_gemma":0.00004924896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000921364,"about_ca_topic_score_gemma":0.00000679912,"domain_scores_codex":[0.9990943,0.00001611421,0.0003845172,0.0001613969,0.0001605744,0.0001831065],"domain_scores_gemma":[0.9994624,0.00003587541,0.0001967927,0.0001944236,0.00004673427,0.00006374055],"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":[0.00008288849,0.0000490375,0.01340848,0.00008416532,0.00003059605,5.26575e-7,0.001031919,0.000008499736,0.9802598,0.000233653,0.000001650042,0.004808819],"study_design_scores_gemma":[0.0004465596,0.00001955899,0.04718111,0.00002787479,0.00002627822,0.00002733243,0.00007320161,0.000143944,0.9517859,0.0001269004,0.00002045345,0.0001209044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967027,0.001882128,0.0008706774,0.0000599237,0.00004870249,0.0000558418,0.0001470819,0.0000309137,0.0002020747],"genre_scores_gemma":[0.99956,0.0000514265,0.0001669457,0.00001591976,0.00005266579,0.000008341199,0.00002420038,0.00001836207,0.0001021247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03377263,"threshold_uncertainty_score":0.5194362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289703691041587,"score_gpt":0.2390299726944413,"score_spread":0.2261329357840255,"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."}}