{"id":"W4285004692","doi":"10.1002/cjce.24538","title":"Experimental methods in chemical engineering: Reactive extrusion","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Polytechnique Montréal","funders":"","keywords":"Polypropylene; Materials science; Reactive extrusion; Extrusion; Compatibilization; Residence time (fluid dynamics); Residence time distribution; Polymer; Mixing (physics); Chemical engineering; Maleic anhydride; Depolymerization; Process engineering; Compounding; Rheology; Composite number; Composite material; Mechanical engineering; Copolymer; Polymer chemistry; Polymer blend; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004316626,0.0001551046,0.0002101544,0.0002393699,0.00006639568,0.00003776834,0.0003159903,0.00006045482,0.0001376346],"category_scores_gemma":[0.00009736924,0.0001369383,0.00008636836,0.0003067726,0.00002384672,0.0001045874,0.00003594337,0.0008871973,0.000001128879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007770956,"about_ca_system_score_gemma":0.0001161989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002700607,"about_ca_topic_score_gemma":0.000004550269,"domain_scores_codex":[0.9990748,0.00002077605,0.0003222269,0.00008762888,0.0001783016,0.0003162829],"domain_scores_gemma":[0.9995313,0.00007663944,0.00004164061,0.0001100874,0.00003138138,0.0002089357],"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":[0.000008842204,0.000004640477,0.000009275357,0.00001517499,0.00001860437,0.00002272248,0.0008288337,0.3673836,0.630937,0.0001315281,0.0001111863,0.0005285655],"study_design_scores_gemma":[0.0002384654,0.00002812971,0.00001433886,0.00003805069,0.000008860849,0.0003470728,0.00009983727,0.1056156,0.8866886,0.00003280931,0.006692744,0.0001954782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933189,0.002948879,0.00215788,0.0001531822,0.0009970369,0.00008804411,0.000004536164,0.00005864202,0.0002729355],"genre_scores_gemma":[0.9956944,0.00000140974,0.004039643,0.00003109026,0.000157892,0.0000186743,0.000001236659,0.00004364346,0.00001199953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.261768,"threshold_uncertainty_score":0.558418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568770321924074,"score_gpt":0.2392817488652597,"score_spread":0.223594045646019,"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."}}