{"id":"W4404952849","doi":"10.1109/issrew63542.2024.00083","title":"Using Boundary Objects for Continuous Compliance in Automotive Development","year":2024,"lang":"en","type":"article","venue":"","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Automotive industry; Compliance (psychology); Computer science; Boundary (topology); Manufacturing engineering; Automotive engineering; Engineering; Mathematics; Psychology; Aerospace engineering; Mathematical analysis","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":[0.0001476295,0.0001542485,0.000191354,0.0001497202,0.00002626502,0.00006963823,0.00009068493,0.0000598038,0.00001768746],"category_scores_gemma":[0.00001479005,0.0001641205,0.00003667919,0.0002036636,0.00001248799,0.000110349,0.0000174026,0.0001062982,0.00004887027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004754769,"about_ca_system_score_gemma":0.0001049779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001211006,"about_ca_topic_score_gemma":0.00002122706,"domain_scores_codex":[0.999193,0.000005270295,0.0002669842,0.0001791215,0.00007487036,0.0002808066],"domain_scores_gemma":[0.9997315,0.00008896879,0.000007601566,0.0001086309,0.00002506796,0.00003819789],"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":[0.00001237726,0.00004480906,0.0006713298,0.005629117,0.0004348423,0.0001495058,0.008964045,0.8982431,0.01518398,0.004629142,0.00329381,0.0627439],"study_design_scores_gemma":[0.000197018,0.000007471192,0.0009535346,0.0006102628,0.000004586639,0.00002086907,0.0001212298,0.9235213,0.005962366,0.00006846411,0.06826222,0.0002706885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05483659,0.003975238,0.9189609,0.00003054478,0.003299599,0.0009100556,0.00001131801,0.002711569,0.01526419],"genre_scores_gemma":[0.9245341,0.000002544809,0.07477916,0.00001595299,0.00007722506,0.00008777672,0.000005361482,0.00006159857,0.0004362747],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8696975,"threshold_uncertainty_score":0.6692641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04974430836887619,"score_gpt":0.2814053509094522,"score_spread":0.231661042540576,"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."}}