{"id":"W1981490740","doi":"10.1007/s12289-008-0289-4","title":"Modeling of Paste Extrusion in Semi-Solid State","year":2008,"lang":"en","type":"article","venue":"International Journal of Material Forming","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Extrusion; Materials science; Constitutive equation; Rheology; Shear rate; Strain rate; Composite material; Shear thinning; Microstructure; Shear (geology); Mechanics; Finite element method; Thermodynamics","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":[0.0001791715,0.00007617259,0.0001994711,0.0001638096,0.00002202126,0.000005038952,0.0001968612,0.00004367773,0.0000397187],"category_scores_gemma":[0.00007992153,0.00006720834,0.00006253086,0.00003671028,0.00002807225,0.0002044904,0.00008486634,0.0001176493,0.000001904432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000639125,"about_ca_system_score_gemma":0.00002231792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003468187,"about_ca_topic_score_gemma":0.000006215695,"domain_scores_codex":[0.9990287,0.0000108352,0.0005682336,0.0000584728,0.0002208239,0.0001128862],"domain_scores_gemma":[0.9995576,0.00003062719,0.0001523168,0.00004134571,0.0001935684,0.00002455035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005756761,0.00005501778,0.003798145,0.00002056669,0.0001451991,0.0002113385,0.001435333,0.301421,0.6906793,0.0009113081,0.00001076231,0.0007363015],"study_design_scores_gemma":[0.0009335395,0.00005345994,0.0006130817,0.0002689419,0.000008994142,0.0004749178,0.00008920957,0.9291858,0.06741789,0.0008182626,0.00002438905,0.0001115253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577912,0.00006303765,0.04072597,0.00005019716,0.001099249,0.00002056579,0.00000910533,0.000005768696,0.0002349154],"genre_scores_gemma":[0.9979055,0.0002619835,0.001510146,0.00001207692,0.0001869986,7.144183e-7,0.000002595175,0.000008685124,0.0001113021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6277648,"threshold_uncertainty_score":0.2740676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013183272468689,"score_gpt":0.2532793968547701,"score_spread":0.2400961243860811,"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."}}