{"id":"W2588813061","doi":"10.4271/2017-01-1272","title":"Aluminum Extrusions for Automotive Crash Applications","year":2017,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Crash; Automotive industry; Aluminium; Computer science; Materials science; Engineering; Metallurgy; Operating system; Aerospace 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":[0.0002415274,0.0002887047,0.0002565657,0.0003366221,0.0002216574,0.0003009593,0.0004522436,0.0003491243,0.008287718],"category_scores_gemma":[0.000505197,0.0001867986,0.0002377005,0.0004364194,0.00008794921,0.0003717992,0.0002903354,0.0001914185,0.001970152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761247,"about_ca_system_score_gemma":0.0002063263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006875238,"about_ca_topic_score_gemma":0.001595078,"domain_scores_codex":[0.9998487,0.00002701867,0.000008619746,0.00001456642,0.00008681907,0.00001430022],"domain_scores_gemma":[0.9998199,0.00004787124,0.0000183179,0.00002942194,0.0000765291,0.000007980656],"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":[0.0008141474,0.0001788732,0.005954486,0.0007456707,0.0000329113,0.0006804363,0.0002571055,0.09224304,0.7476436,0.002646626,0.006091808,0.1427114],"study_design_scores_gemma":[0.0001615716,0.002517917,0.01628817,0.00006379306,0.00005157691,0.0009541785,0.0002735829,0.1436471,0.7601132,0.001172142,0.07471384,0.00004305239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8715301,0.002296468,0.09234779,0.0002548115,0.0001054287,0.0001783695,0.001533616,0.002828961,0.02892448],"genre_scores_gemma":[0.9494377,0.0009995367,0.03553664,0.00002356288,0.00001095897,0.00004760723,0.001194633,0.0002468228,0.01250249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008287718,"threshold_uncertainty_score":0.02772522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905832180113331,"score_gpt":0.2854659916565001,"score_spread":0.2664076698553668,"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."}}