{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009482726,0.0006705971,0.0005666002,0.002094011,0.00229202,0.005520386,0.002031328,0.002355068,0.002405475],"category_scores_gemma":[0.0149168,0.0009836734,0.0009907094,0.001323221,0.003598154,0.006635221,0.007262685,0.002237341,0.00096245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618892,"about_ca_system_score_gemma":0.004069946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002606622,"about_ca_topic_score_gemma":0.002222769,"domain_scores_codex":[0.9905227,0.00458518,0.0006040702,0.0009559538,0.002925598,0.0004063548],"domain_scores_gemma":[0.9899542,0.004738567,0.0009946332,0.002644692,0.001243728,0.0004241882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001578899,0.0002819511,0.004341326,0.0004617672,0.00006343098,0.0009584102,0.00904665,0.04871893,0.01998511,0.6294422,0.003118882,0.2834234],"study_design_scores_gemma":[0.0001201088,0.000481513,0.001764376,0.001011058,0.0001094279,0.001511191,0.002732812,0.2829713,0.05232611,0.4452219,0.2114889,0.0002613836],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01058522,0.0002152976,0.981916,0.0003488287,0.00004292193,0.00009904536,0.00001623054,0.0008141676,0.005962369],"genre_scores_gemma":[0.1785505,0.0003347234,0.8172204,0.000171588,0.00002058038,0.0002750134,0.0001071821,0.0005303742,0.002789647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009482726,"threshold_uncertainty_score":0.05015004,"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."}}