{"id":"W3201090368","doi":"10.1002/pen.25797","title":"Modeling flow and cell formation in foam sheet extrusion of polystyrene with <scp>CO<sub>2</sub></scp> and co‐blowing agents. Part <scp>II</scp>: Process model","year":2021,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Armacell (Canada)","funders":"Bundesministerium für Wirtschaft und Technologie","keywords":"Blowing agent; Materials science; Polystyrene; Extrusion; Dimensionless quantity; Nucleation; Blow molding; Composite material; Foaming agent; Solubility; Acetone; Flow (mathematics); Chemical engineering; Porosity; Polymer; Thermodynamics; Organic chemistry; Polyurethane; Mechanics; 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":[0.0002498623,0.0005967601,0.0005721808,0.0004052198,0.0005082309,0.0006881551,0.0006097964,0.00184449,0.001476877],"category_scores_gemma":[0.0004600773,0.000365609,0.0007788876,0.0002535257,0.000499145,0.0005889861,0.0002368389,0.0003862661,0.0002648639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150929,"about_ca_system_score_gemma":0.0009337492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01280357,"about_ca_topic_score_gemma":0.004274059,"domain_scores_codex":[0.9999189,0.0000196155,0.000005181129,0.00001740715,0.00002199838,0.00001682054],"domain_scores_gemma":[0.9997368,0.0001689447,0.00003556029,0.00001217059,0.00003290123,0.0000136284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004107241,0.00003897706,0.0005885521,0.00003849582,0.000007497189,0.00008935988,0.00004962047,0.9832168,0.01266271,0.001320316,0.00006112271,0.001885512],"study_design_scores_gemma":[0.000005357294,0.00001768561,0.0001300598,0.000002481757,0.000002440745,0.000009033699,0.000005287099,0.9967429,0.002837238,0.00009829052,0.0001463606,0.000002810572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7919454,0.0005462124,0.1942531,0.0001930811,0.00005399274,0.0002348532,0.000573698,0.0006283097,0.01157128],"genre_scores_gemma":[0.9813839,0.0003525975,0.01326058,0.00002420285,0.000009404572,0.0001706755,0.0002519007,0.00004763031,0.004499191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01280357,"threshold_uncertainty_score":0.02545804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027081248302641,"score_gpt":0.2124755045071245,"score_spread":0.2022046920240981,"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."}}