{"id":"W2320122687","doi":"10.1021/ie502018v","title":"Foaming Poly(vinyl alcohol)/Microfibrillated Cellulose Composites with CO<sub>2</sub> and Water as Co-blowing Agents","year":2014,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"China Scholarship Council","keywords":"Vinyl alcohol; Extrusion; Differential scanning calorimetry; Materials science; Blowing agent; Scanning electron microscope; Composite material; Cellulose; Nucleation; Supercritical fluid; Supercritical carbon dioxide; Environmental scanning electron microscope; Composite number; Chemical engineering; Polyvinyl alcohol; Polymer; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001247752,0.0003665186,0.000410701,0.0001486992,0.0003604162,0.0004975732,0.0004602969,0.0003307349,0.00009348192],"category_scores_gemma":[0.0001721329,0.0003069058,0.00006084198,0.0002773116,0.0002328281,0.0002319562,0.0002471562,0.0007634904,0.0001494627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124734,"about_ca_system_score_gemma":0.0000840724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001348847,"about_ca_topic_score_gemma":4.011828e-7,"domain_scores_codex":[0.9968895,0.0001009877,0.0003692328,0.0006743111,0.0007994554,0.001166488],"domain_scores_gemma":[0.9985734,0.0003876272,0.0000564649,0.0004642713,0.0001148126,0.0004034308],"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":[0.0001244554,0.00003188115,0.0008929259,0.0000865492,0.0000431771,0.00004414266,0.0001687133,0.0001373926,0.9970467,0.000006647677,0.0002883644,0.001129025],"study_design_scores_gemma":[0.001248883,0.0001241734,0.00007566493,0.000287093,0.00002190692,0.0001158583,0.00003769735,0.001860412,0.993804,0.000005763852,0.002006837,0.0004117136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978989,0.0003485215,0.00003836191,0.0001211775,0.0001402251,0.0001943236,0.00001893756,0.0002391477,0.001000369],"genre_scores_gemma":[0.9987695,0.000009654387,0.00005443045,0.00001480618,0.0006505929,0.00002395117,0.00007070722,0.00007298334,0.0003333627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003242729,"threshold_uncertainty_score":0.9999383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03773614557396354,"score_gpt":0.2901837618196634,"score_spread":0.2524476162456998,"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."}}