{"id":"W4295314075","doi":"10.5281/zenodo.7071059","title":"Methodology for the automated preliminary certification of on-board systems architectures through requirements analysis","year":2022,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Concordia University; European Commission","keywords":"Certification; Computer science; Software engineering; Systems engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001232764,0.0003381188,0.0005900234,0.0006452058,0.0009735984,0.0002230534,0.001625003,0.0001916857,0.005979045],"category_scores_gemma":[0.0004324118,0.0003134827,0.0002386479,0.001212161,0.0001125513,0.00006062969,0.0004881272,0.0005013705,0.001720166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004713455,"about_ca_system_score_gemma":0.000007523704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000584628,"about_ca_topic_score_gemma":1.63704e-7,"domain_scores_codex":[0.9970894,0.0007588318,0.0007295403,0.0005150689,0.0004866786,0.0004204656],"domain_scores_gemma":[0.9976891,0.0004807759,0.0003114841,0.001112427,0.0003374525,0.0000687618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007315355,0.00003026711,1.367912e-7,0.000672947,0.001512736,0.000001007745,0.0007830515,0.683862,0.0009390491,0.0004679084,0.3086688,0.002988989],"study_design_scores_gemma":[0.0002349274,0.0002028474,0.00008594443,0.00006359682,0.0003324445,0.00001555551,0.0001902605,0.1583993,0.0003813919,0.000008733183,0.8398358,0.0002492394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001338533,0.006722779,0.7536505,0.0005623528,0.007236818,0.008047733,0.007655455,0.007842255,0.2069435],"genre_scores_gemma":[0.9249123,0.001064076,0.006273838,0.0001050769,0.001384371,0.00002835412,0.03608634,0.01049893,0.01964673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9235737,"threshold_uncertainty_score":0.9999318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09563057369713893,"score_gpt":0.301133637204384,"score_spread":0.2055030635072451,"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."}}