{"id":"W4386609685","doi":"10.1007/978-3-031-40923-3","title":"Computer Safety, Reliability, and Security","year":2023,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Austrian Institute of Technology; Österreichische Forschungsförderungsgesellschaft; Centre National de la Recherche Scientifique; KU Leuven; Mälardalens högskola; Politechnika Gdańska; Ames Research Center; Università degli Studi di Firenze; European Research Consortium for Informatics and Mathematics; Universidade de Lisboa; Bundesministerium für Verkehr, Innovation und Technologie; European Commission; University of Toronto; National Aeronautics and Space Administration","keywords":"Computer science; Reliability (semiconductor); Computer security; Reliability 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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004120884,0.0006291769,0.0009411347,0.001316241,0.000485537,0.001217368,0.004872893,0.0005228997,0.00001485952],"category_scores_gemma":[0.000593982,0.0005645637,0.0002389133,0.003202296,0.001749092,0.0007826884,0.006622685,0.001649794,0.000145169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007267945,"about_ca_system_score_gemma":0.001636938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007872117,"about_ca_topic_score_gemma":0.0001424028,"domain_scores_codex":[0.9928002,0.0002599285,0.0008205183,0.002946184,0.001994516,0.001178607],"domain_scores_gemma":[0.9932666,0.00310987,0.0002166285,0.002527793,0.0004764753,0.0004025859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001198677,0.0001142723,0.0009320425,0.0003530038,0.00003406489,0.0001910015,0.001541784,0.03856288,0.000008582994,0.003369442,0.0009244964,0.9539564],"study_design_scores_gemma":[0.0002267506,0.0001505207,0.0006832096,0.0002711,0.00000782207,0.0000366912,1.36221e-7,0.7084894,0.00005231302,0.2871869,0.002325047,0.0005701012],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002998155,0.0003327611,0.9938681,0.002505817,0.001384852,0.0005007663,0.00001257162,0.0005260337,0.0005693294],"genre_scores_gemma":[0.08145567,0.001650863,0.9025257,0.00456576,0.003991157,0.00008896951,0.00008469746,0.0002283757,0.005408825],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9533864,"threshold_uncertainty_score":0.9998195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532949863698467,"score_gpt":0.2790020788586862,"score_spread":0.2636725802217015,"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."}}