{"id":"W2950009957","doi":"10.1002/app.48138","title":"Determination of modified polyamide 6's foaming windows by bubble growth simulations based on rheological measurements","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"National Key Research and Development Program of China","keywords":"Reactive extrusion; Polyamide; Materials science; Extrusion; Melt flow index; Branching (polymer chemistry); Rheology; Polypropylene; Maleic anhydride; Composite material; Compatibilization; Plastics extrusion; Differential scanning calorimetry; Polymer chemistry; Polymer; Polymer blend; Thermodynamics; Copolymer","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":[],"consensus_categories":[],"category_scores_codex":[0.001037067,0.0001630544,0.0003080184,0.0003465399,0.0001855817,0.00009166422,0.0007822905,0.00006318573,0.00008901226],"category_scores_gemma":[0.00004852533,0.0001293572,0.00007918208,0.0005378884,0.0003090494,0.0003666551,0.00006715223,0.0001475884,0.00002285134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008757864,"about_ca_system_score_gemma":0.0002432311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002290858,"about_ca_topic_score_gemma":7.502419e-7,"domain_scores_codex":[0.9974527,0.00004922864,0.000565265,0.0002862398,0.001292025,0.0003544993],"domain_scores_gemma":[0.9984744,0.0002232403,0.000650137,0.0002749036,0.0002244067,0.0001529138],"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":[0.0001489995,0.0001435932,0.0008653872,0.000009165461,0.000002804857,8.496843e-7,0.0001126517,0.0006508282,0.9950825,0.0007250078,0.00001618892,0.002242042],"study_design_scores_gemma":[0.0007445038,0.0002770077,0.001113692,0.00005360282,0.00001893616,0.000005560928,0.00003067108,0.02019364,0.9771613,0.0002567705,0.000005071829,0.0001391956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891444,0.0002192046,0.005115401,0.0001079269,0.0003774945,0.0001253098,0.000008692474,0.00001842631,0.004883159],"genre_scores_gemma":[0.9979225,0.000001059403,0.001727816,0.0002305645,0.00003772624,0.000002444021,0.000001044966,0.000009351549,0.00006746446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01954282,"threshold_uncertainty_score":0.5275033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766276272103891,"score_gpt":0.2500178702081509,"score_spread":0.232355107487112,"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."}}