{"id":"W4383898388","doi":"10.1109/seams59076.2023.00028","title":"Hazard Analysis for Self-Adaptive Systems Using System-Theoretic Process Analysis","year":2023,"lang":"en","type":"article","venue":"","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Hazard analysis; Computer science; Process (computing); Adaptive system; Hazard; Adaptation (eye); Field (mathematics); Life-critical system; Risk analysis (engineering); Systems analysis; Reliability engineering; Engineering; Mathematics; Artificial intelligence; Software; Software 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006455675,0.0003754807,0.0009833802,0.002081254,0.0001113431,0.0001193293,0.0003252524,0.0001763477,0.00001310587],"category_scores_gemma":[0.00002328059,0.0003701168,0.0005896806,0.008547743,0.00002050388,0.0001542225,0.00003004625,0.0001134217,0.00007423772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005696734,"about_ca_system_score_gemma":0.00004046658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005619186,"about_ca_topic_score_gemma":0.00001549487,"domain_scores_codex":[0.9978482,0.00004630778,0.0007011502,0.000452965,0.0003382724,0.0006130706],"domain_scores_gemma":[0.9987329,0.0002312645,0.00009723813,0.0005947521,0.0001939243,0.0001499148],"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":[0.000003888294,0.000006021544,0.002196134,0.001192854,0.01266437,0.000006242579,0.0003439225,0.9783721,0.00007111939,0.005078387,0.00005244905,0.00001248114],"study_design_scores_gemma":[0.0001996214,0.00001475729,0.0009994626,0.00005879356,0.006649623,0.00000552472,0.00145161,0.9898089,0.0001931833,0.00001121096,0.0001753283,0.0004320523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08678856,0.0002212919,0.9022951,0.000005615314,0.0007418955,0.000906476,0.00007346379,0.006495793,0.002471824],"genre_scores_gemma":[0.99406,0.000005376289,0.00497066,0.000002207409,0.0001623676,0.0004261963,0.00005949289,0.0001102829,0.00020343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9072714,"threshold_uncertainty_score":0.9998751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602328139659414,"score_gpt":0.2372089550559145,"score_spread":0.2211856736593203,"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."}}