{"id":"W4292971583","doi":"10.35199/norddesign2022.45","title":"Knowledge based engineering for formula student","year":2022,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineering Link (Canada)","funders":"Linköpings Universitet","keywords":"Chassis; Computer science; Engineering design process; Process (computing); Automation; Engineering education; Competition (biology); Value engineering; Knowledge engineering; Engineering management; Software engineering; Knowledge management; Engineering; Mechanical engineering; Programming language; Operations management","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":[0.00006397939,0.00006404068,0.0000582221,0.00005847754,0.00006793132,0.00001617324,0.00008346571,0.00001149511,0.0002846356],"category_scores_gemma":[0.000003257943,0.00006688504,0.00003012698,0.00006170274,0.000001069668,0.00003461466,0.00002418792,0.00004822241,0.000002637306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000562878,"about_ca_system_score_gemma":0.000006317374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.949291e-7,"about_ca_topic_score_gemma":0.000001168943,"domain_scores_codex":[0.9996716,0.000001781825,0.00007963365,0.00006951165,0.00006004106,0.0001174124],"domain_scores_gemma":[0.999864,0.00002471382,0.00000579952,0.00007041117,0.00001082155,0.00002428743],"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":[0.0000016265,0.00001414229,0.00001865634,0.00008053694,0.000006690358,1.55923e-7,0.00009649451,0.9969828,0.00007057704,0.0006094883,0.0008020771,0.001316807],"study_design_scores_gemma":[0.0002522203,0.00002227552,0.0001358003,0.000002007141,0.000004429132,3.115666e-7,0.0000246694,0.9181749,0.004452027,0.00001331287,0.07682431,0.00009373549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01759344,0.0001943799,0.9746035,0.00002764932,0.0004931876,0.000291985,0.00001011216,0.0006431605,0.006142635],"genre_scores_gemma":[0.991078,0.00000198132,0.007987207,0.00002398641,0.00003629828,0.0002761114,0.00001913347,0.00002598373,0.0005513529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9734845,"threshold_uncertainty_score":0.311656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012199654332475,"score_gpt":0.2273205916096536,"score_spread":0.2171985950663289,"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."}}