{"id":"W2035892038","doi":"10.1002/app.32253","title":"Use of nanoparticles for improving the foaming behaviors of linear PP","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Polypropylene; Supercritical fluid; Nucleation; Materials science; Extrusion; Nanocomposite; Expansion ratio; Composite material; Morphology (biology); Nanoparticle; Linear polymer; Polymer science; Chemical engineering; Polymer; Nanotechnology; Chemistry","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":[0.0001548961,0.0003762747,0.0002538128,0.0002228866,0.0001344069,0.0002888952,0.0001809384,0.0003400811,0.0007308323],"category_scores_gemma":[0.0003183183,0.0001719251,0.0002665401,0.0001067573,0.0001979485,0.0003533365,0.0002319479,0.0003676272,0.0002407262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002155064,"about_ca_system_score_gemma":0.0001126204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005763969,"about_ca_topic_score_gemma":0.001008794,"domain_scores_codex":[0.9998682,0.00001781964,0.00001402234,0.00003436879,0.00004187657,0.00002374202],"domain_scores_gemma":[0.9998507,0.00004555999,0.00003104644,0.00001491526,0.00003859733,0.0000190854],"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":[0.00002842172,0.00001568697,0.00003910119,0.00004514835,0.000003684161,0.00002095836,0.000008019765,0.00009206573,0.9980062,0.00002157625,0.0000142613,0.001704911],"study_design_scores_gemma":[0.000003541009,0.0000631966,0.0001479996,0.000001875493,0.0000079348,0.0000219452,0.000002730003,0.0004772207,0.9989067,0.000005475496,0.0003595921,0.000001619172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867982,0.001590671,0.009741205,0.00009860736,0.00004235157,0.00005158486,0.00007976837,0.0001876756,0.00140995],"genre_scores_gemma":[0.9922479,0.0004861574,0.006087963,0.0000435112,0.000009715441,0.00002001354,0.00006832065,0.00003192571,0.001004441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007308323,"threshold_uncertainty_score":0.002444923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780745654656414,"score_gpt":0.2575773572988309,"score_spread":0.2397699007522667,"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."}}