{"id":"W2052544723","doi":"10.4028/www.scientific.net/msf.794-796.682","title":"Through Process Modelling of Extrusion for AA3xxx Alloys","year":2014,"lang":"en","type":"article","venue":"Materials science forum","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Extrusion; Homogenization (climate); Materials science; Recrystallization (geology); Annealing (glass); Aluminium; Metallurgy; Mechanical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004121539,0.0005833555,0.0006608508,0.0004016922,0.000518283,0.001274368,0.0009634868,0.001301911,0.004560255],"category_scores_gemma":[0.0006082304,0.0003030295,0.000962373,0.0003885638,0.0003948102,0.00091489,0.000481092,0.0005635574,0.0008582048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000821768,"about_ca_system_score_gemma":0.0009178371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0064746,"about_ca_topic_score_gemma":0.00374172,"domain_scores_codex":[0.9998406,0.00002781651,0.000009927235,0.00002591227,0.00007647787,0.00001917214],"domain_scores_gemma":[0.9998552,0.00005992905,0.00002546705,0.00001842982,0.00003456962,0.00000642181],"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":[0.00003509922,0.00002595861,0.0004159672,0.00009950515,0.00001057756,0.0001623012,0.00009177121,0.952416,0.01333329,0.02687442,0.0002648561,0.006270231],"study_design_scores_gemma":[0.00000764636,0.00004357889,0.0002006038,0.00001560524,0.000009766199,0.00006747333,0.00001555784,0.9844812,0.004973634,0.003556567,0.006617734,0.00001074054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09474808,0.0008632807,0.8693479,0.000278958,0.00008254416,0.0002226466,0.0007833238,0.0009377389,0.03273544],"genre_scores_gemma":[0.8073182,0.002779582,0.1457524,0.00007380377,0.00003657491,0.0005653578,0.001061549,0.0005058135,0.0419068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0064746,"threshold_uncertainty_score":0.01525557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942194177256932,"score_gpt":0.2312704403944069,"score_spread":0.2118484986218376,"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."}}