{"id":"W2171520684","doi":"10.3139/217.2539","title":"Rheology and Processing of Tetrafluoroethylene/Hexafluoropropylene Copolymers","year":2012,"lang":"en","type":"article","venue":"International Polymer Processing","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hexafluoropropylene; Tetrafluoroethylene; Materials science; Rheology; Viscoelasticity; Copolymer; Thermoforming; Extrusion; Composite material; Polymer; Shear rate; Crystallization; Polymer chemistry; Polymer science; Chemical engineering","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":[0.0001795644,0.0001991784,0.0001178491,0.000280997,0.0001385418,0.0001680138,0.0000689226,0.0001461597,0.0008991872],"category_scores_gemma":[0.0002435796,0.00008913021,0.0000943132,0.0001873851,0.0001162931,0.0002896876,0.00006571683,0.0002334922,0.0001586411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536494,"about_ca_system_score_gemma":0.0001333555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005197845,"about_ca_topic_score_gemma":0.0004730659,"domain_scores_codex":[0.9999136,0.00001107802,0.000006645057,0.00001589564,0.00003290786,0.00001983736],"domain_scores_gemma":[0.9999219,0.00002119233,0.00002435935,0.000005095704,0.00001538325,0.00001205972],"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":[0.00003842823,0.00001212322,0.0001728294,0.00001997076,0.00000184058,0.00004317962,0.00001787467,0.0001840185,0.9965911,0.00006241434,0.00001553056,0.002840793],"study_design_scores_gemma":[0.000003908805,0.0001476684,0.003175275,0.00000633408,0.000003895498,0.00009090356,0.00001188812,0.0007431697,0.994711,0.00002098863,0.001082325,0.000002601746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99261,0.001969019,0.003442725,0.00003881985,0.00001743101,0.00002731583,0.0001109092,0.00002698699,0.001756841],"genre_scores_gemma":[0.9926332,0.001130885,0.003726634,0.00002019368,0.000007189443,0.0000164162,0.0001689229,0.00001540016,0.002281191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008991872,"threshold_uncertainty_score":0.003008127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018058891886741,"score_gpt":0.2549278173874521,"score_spread":0.2447472284685847,"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."}}