{"id":"W4283204998","doi":"10.1109/ms.2022.3164872","title":"Software Design Trends Supporting Multiconcern Assurance","year":2022,"lang":"en","type":"article","venue":"IEEE Software","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Dependability; Software security assurance; Computer science; Life-critical system; Computer security; Risk analysis (engineering); Variety (cybernetics); Software; Avionics software; Systems engineering; Engineering; Software development; Software quality; Software engineering; Business; Information security; Security service","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":[0.006616919,0.0006123191,0.0003391726,0.001781738,0.0005740416,0.003310822,0.002229412,0.002174122,0.004647613],"category_scores_gemma":[0.01174698,0.0006856642,0.0005108845,0.001510099,0.001831508,0.00738064,0.002192816,0.003631698,0.002191579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528972,"about_ca_system_score_gemma":0.002369006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108903,"about_ca_topic_score_gemma":0.001646447,"domain_scores_codex":[0.9950924,0.0009919673,0.000368303,0.0005150709,0.002746905,0.0002853442],"domain_scores_gemma":[0.984706,0.005089243,0.001326413,0.002570137,0.005570087,0.0007381132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008258224,0.0001462203,0.002426168,0.001170034,0.0000520505,0.0002286929,0.001134341,0.008750093,0.0175268,0.5817496,0.01074994,0.3759835],"study_design_scores_gemma":[0.00008113527,0.0003837595,0.001741528,0.0009973706,0.00007179144,0.001050938,0.0004295614,0.06426524,0.01157423,0.3153118,0.6040075,0.00008504007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0350699,0.03541937,0.8306806,0.02537261,0.001211708,0.0001514797,0.0001128992,0.002120602,0.06986081],"genre_scores_gemma":[0.2917047,0.03478763,0.6481576,0.005113869,0.001699232,0.0002430387,0.0005640636,0.0009435345,0.0167864],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006616919,"threshold_uncertainty_score":0.03499407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851287341228297,"score_gpt":0.2295514612861271,"score_spread":0.2110385878738441,"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."}}