{"id":"W4360612728","doi":"10.1021/acsapm.2c02106","title":"Effect of Ethylene Comonomer Content on the Foam Processing Window of Long-Chain Branched Polypropylene","year":2023,"lang":"en","type":"article","venue":"ACS Applied Polymer Materials","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; ExxonMobil Research and Engineering Company; Ontario Research Foundation","keywords":"Comonomer; Polypropylene; Materials science; Ethylene; Differential scanning calorimetry; Rheology; Composite material; Polymer; Chemical engineering; Ethylene oxide; Polymer chemistry; Copolymer; Chemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002165509,0.0004245275,0.000252049,0.000291703,0.0001318885,0.0003160895,0.0001605691,0.0002750246,0.001337265],"category_scores_gemma":[0.0006248418,0.0001981204,0.0001790793,0.0002671291,0.0001528903,0.0004407793,0.0001471049,0.0004216199,0.0003244427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343976,"about_ca_system_score_gemma":0.0001134151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004088074,"about_ca_topic_score_gemma":0.0006944355,"domain_scores_codex":[0.9997979,0.00002936533,0.00001914644,0.00006019465,0.0000469704,0.00004641357],"domain_scores_gemma":[0.9996049,0.0001520597,0.0001024783,0.00002610185,0.00005764241,0.0000568166],"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":[0.0002659023,0.00003953737,0.0001938444,0.00008126355,0.000008420834,0.00005652119,0.00002622463,0.0001828808,0.9973137,0.00002166136,0.00001881851,0.001791209],"study_design_scores_gemma":[0.000005173774,0.0003624303,0.00204867,0.000008755604,0.00001696098,0.00003156115,0.0000193655,0.000458201,0.9964579,0.00000600911,0.0005783906,0.00000654035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982768,0.0006974097,0.0003155685,0.00001723148,0.000009014373,0.000009094957,0.00008797477,0.00002644751,0.0005604144],"genre_scores_gemma":[0.9978283,0.0005572706,0.0009748627,0.00001982811,0.000005806444,0.00001640141,0.0001176718,0.00002339879,0.0004563604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001337265,"threshold_uncertainty_score":0.004473567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019851688034831,"score_gpt":0.2490308237817164,"score_spread":0.228832306901368,"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."}}