{"id":"W1835256423","doi":"10.1016/j.eurpolymj.2015.10.029","title":"Extrusion blow molding of a starch–gelatin polymer matrix reinforced with cellulose","year":2015,"lang":"en","type":"article","venue":"European Polymer Journal","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Consejo Nacional de Ciencia y Tecnología; Université Laval","keywords":"Gelatin; Thermogravimetric analysis; Extrusion; Materials science; Starch; Cellulose; Composite material; Thermal stability; Blow molding; Molding (decorative); Dynamic mechanical analysis; Polymer; Viscoelasticity; Viscosity; Chemical engineering; Mold; 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":[0.0001237258,0.0003010293,0.000215006,0.0002182084,0.0001503102,0.0002144327,0.0001478786,0.000197427,0.00136517],"category_scores_gemma":[0.0001470336,0.0001676356,0.0002664367,0.0002264752,0.0001970339,0.0002650526,0.0001716651,0.0003520118,0.0001723731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527024,"about_ca_system_score_gemma":0.0001726068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004168816,"about_ca_topic_score_gemma":0.001325068,"domain_scores_codex":[0.9999318,0.000006308484,0.000004466513,0.00001821087,0.00002013398,0.00001916749],"domain_scores_gemma":[0.9998469,0.0000501897,0.00005057268,0.00001775844,0.00001200569,0.00002251156],"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":[0.00005755216,0.00001063678,0.00005507074,0.0000305971,0.00000342179,0.00007797901,0.00002751703,0.0002152365,0.9980121,0.00006573063,0.00001617978,0.001427903],"study_design_scores_gemma":[0.000009216384,0.00009989603,0.001380365,0.000003484294,0.00000458797,0.00003020924,0.000007298774,0.0008666617,0.9971949,0.00001383385,0.0003856076,0.000003821741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966218,0.0002229066,0.001769611,0.0000167511,0.00002637336,0.000009662762,0.00005205424,0.00005899688,0.001221861],"genre_scores_gemma":[0.996725,0.0001096086,0.001681398,0.000008058629,0.000005586592,0.000005150601,0.00003472009,0.00003584902,0.001394706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00136517,"threshold_uncertainty_score":0.004566908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03037794596865365,"score_gpt":0.2342962430326468,"score_spread":0.2039182970639931,"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."}}