{"id":"W2028466628","doi":"10.4271/2013-01-0166","title":"Shape Recovery Simulation of Flexible Airdam","year":2013,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Computer science","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":[0.0002301492,0.0003363756,0.0002715735,0.0003883248,0.0004164076,0.0005481486,0.0007906638,0.001032728,0.004969676],"category_scores_gemma":[0.000733513,0.0002096225,0.0005548156,0.0002778269,0.0005513576,0.0003708367,0.0004943294,0.0003595465,0.0005211383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004761036,"about_ca_system_score_gemma":0.0004979401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006728079,"about_ca_topic_score_gemma":0.00534875,"domain_scores_codex":[0.9998553,0.00001598743,0.000005468926,0.00002210275,0.00006139203,0.00003971524],"domain_scores_gemma":[0.9996996,0.00009803326,0.00003631841,0.00005755855,0.00007053014,0.00003798066],"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":[0.0001351186,0.00009225871,0.002490532,0.0001014433,0.00001503136,0.0008509871,0.0003239186,0.9609185,0.02106491,0.002385476,0.001181022,0.01044086],"study_design_scores_gemma":[0.00001061307,0.00008961948,0.001293088,0.00001227936,0.000004772237,0.00007239979,0.0001258834,0.9904594,0.005913992,0.0002376475,0.001769128,0.0000111022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250194,0.0002585451,0.04036919,0.0003398856,0.0001007103,0.0001128448,0.0008598015,0.0009203358,0.03201941],"genre_scores_gemma":[0.9889493,0.00007390432,0.00537323,0.0000303059,0.00000370005,0.00004123607,0.0002786456,0.00007201327,0.005177754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006728079,"threshold_uncertainty_score":0.01662529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02969520855817344,"score_gpt":0.2727440703462485,"score_spread":0.2430488617880751,"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."}}