{"id":"W2031692930","doi":"10.1002/app.25778","title":"Effects of nanoparticles on the density reduction and cell morphology of extruded metallocene polyethylene/wood fiber nanocomposites","year":2007,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Extrusion; Nanocomposite; Blowing agent; Low-density polyethylene; Polyethylene; Composite material; Morphology (biology); Fiber; Metallocene; Nanoparticle; Expansion ratio; Plastics extrusion; Chemical engineering; Polymer; Polymerization; Nanotechnology; Polyurethane","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":[0.000120576,0.0002453699,0.0001913227,0.0001199808,0.0001135358,0.0001806484,0.0001069789,0.0002030992,0.0009447419],"category_scores_gemma":[0.0003118178,0.0001425781,0.0001392343,0.00005434163,0.0001700966,0.0001925258,0.000109786,0.0002410006,0.0001273894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001502648,"about_ca_system_score_gemma":0.00006154751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005402566,"about_ca_topic_score_gemma":0.0009438993,"domain_scores_codex":[0.9998823,0.00002100757,0.00001024187,0.00002488851,0.00003910199,0.00002242587],"domain_scores_gemma":[0.9998168,0.00008296157,0.00003298429,0.00001211565,0.00003483613,0.00002033057],"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":[0.0000904909,0.00001128588,0.00007301835,0.00001588696,0.000002605987,0.00002060581,0.0000155172,0.00005413516,0.9991216,0.000009136947,0.000005232641,0.0005804624],"study_design_scores_gemma":[0.000002920378,0.00007679719,0.0004989058,7.177746e-7,0.000003103365,0.00001800162,0.000005641752,0.0001989822,0.9991001,0.000002465094,0.00009137391,0.000001052999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987569,0.0002010271,0.0005919511,0.00001288774,0.000004437401,0.00000587563,0.00002875931,0.00001906048,0.000379246],"genre_scores_gemma":[0.9988231,0.0001083829,0.0005877279,0.000008054871,0.000001730089,0.000005573425,0.00004143709,0.000009211504,0.0004147087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009447419,"threshold_uncertainty_score":0.003160477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005915299875229331,"score_gpt":0.2142605716185192,"score_spread":0.2083452717432899,"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."}}