{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002095769,0.000377042,0.000372836,0.0001779434,0.0001718568,0.0002171948,0.0001657669,0.0003462409,0.0005065927],"category_scores_gemma":[0.0003098589,0.0001590819,0.0002924569,0.0001623073,0.0002431881,0.0004703875,0.0001716314,0.0002805809,0.0001194661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001930817,"about_ca_system_score_gemma":0.000141598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008652762,"about_ca_topic_score_gemma":0.001826017,"domain_scores_codex":[0.9998424,0.00002257075,0.00001060919,0.00003128162,0.00004984327,0.00004331],"domain_scores_gemma":[0.9997942,0.00007935737,0.00005003508,0.00001193355,0.00004304499,0.00002148236],"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":[0.00005786019,0.00001383158,0.0001709055,0.0000348672,0.000004429393,0.00004869088,0.0000164246,0.0001291281,0.9980267,0.00001639991,0.000004946583,0.001475957],"study_design_scores_gemma":[0.000003303825,0.0001069941,0.001019593,0.00000218676,0.000007697528,0.00004078864,0.000009307128,0.0005262083,0.9980691,0.000007254049,0.0002051276,0.000002316699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969569,0.0006698832,0.001977807,0.00001919723,0.00000998153,0.00001033329,0.00002352155,0.00002354922,0.0003088011],"genre_scores_gemma":[0.9943129,0.0004612543,0.004701692,0.0000128806,0.000008573845,0.0000121867,0.00004650935,0.00001473121,0.0004293588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008652762,"threshold_uncertainty_score":0.001720488,"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."}}