{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005477485,0.002015184,0.0009678303,0.0040356,0.00094742,0.003558302,0.002134217,0.001807978,0.004912256],"category_scores_gemma":[0.01460373,0.001008225,0.002788026,0.001277285,0.001243554,0.001737761,0.002365218,0.00236804,0.002575233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594865,"about_ca_system_score_gemma":0.006152146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00332807,"about_ca_topic_score_gemma":0.003075997,"domain_scores_codex":[0.993605,0.002226601,0.0005466719,0.0007565242,0.00255521,0.0003100755],"domain_scores_gemma":[0.9919038,0.003982868,0.0008074621,0.001110608,0.002015672,0.0001794999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001526327,0.0008070383,0.003199676,0.002152587,0.0003430184,0.001460116,0.001627648,0.1732691,0.05152844,0.1059182,0.006815626,0.6527259],"study_design_scores_gemma":[0.0001696655,0.0005178056,0.0021894,0.0008893159,0.0002648998,0.001312928,0.0006166256,0.8141649,0.04186627,0.07649377,0.0613639,0.0001505144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00171127,0.00006703066,0.9955351,0.00005931557,0.0000115614,0.0004593596,0.00009841074,0.00117683,0.0008810136],"genre_scores_gemma":[0.02501573,0.0001608109,0.972297,0.000050742,0.00001283874,0.0006862748,0.0006167903,0.0001999828,0.00095993],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005477485,"threshold_uncertainty_score":0.0289681,"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."}}