{"id":"W4285456352","doi":"10.1109/tr.2021.3083460","title":"IEEE Reliability Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Reliability","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Singapore Management University; Universidade de Coimbra; Universidade de São Paulo; Xidian University; Sichuan University; Universidad de Murcia; Queen's University; Northwestern Polytechnical University; Centre National de la Recherche Scientifique; Chinese Academy of Sciences; National University of Singapore; University of Hong Kong; Institute of Electrical and Electronics Engineers; TU Graz, Internationale Beziehungen und Mobilitätsprogramme; Nanjing University; Southern Methodist University; Microsoft Research; Arizona State University; Northwestern University; University of Alberta","keywords":"Reliability engineering; Reliability theory; Reliability (semiconductor); Computer science; Engineering; Failure rate; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.000475249,0.0003504584,0.0003961191,0.00004917785,0.000146492,0.00004212802,0.0002184022,0.000287562,0.0002792583],"category_scores_gemma":[0.00002458947,0.0003886468,0.0005064491,0.0005331482,0.00009933998,0.0001900571,0.000001110481,0.0007238569,0.000206751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006552625,"about_ca_system_score_gemma":0.0001082779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003196451,"about_ca_topic_score_gemma":0.00001511443,"domain_scores_codex":[0.9979556,0.00008442059,0.0005772662,0.0005915702,0.0003291487,0.0004620016],"domain_scores_gemma":[0.9979267,0.0003136647,0.00003028204,0.001369321,0.0001749127,0.0001850831],"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":[0.00000801466,0.0001706002,0.00006670128,0.0003130441,0.00007546146,0.000005337921,0.0002282082,0.9879066,0.005643446,0.00001532527,0.001284729,0.004282552],"study_design_scores_gemma":[0.001338024,0.00009791795,0.006250141,0.0001747221,0.0001455946,0.0000691754,0.0002258201,0.5012031,0.4433251,0.0004371082,0.04527008,0.001463282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1406357,0.0000979808,0.8471536,0.0002306266,0.00510499,0.0003751487,0.00009378672,0.002009312,0.004298822],"genre_scores_gemma":[0.9910214,0.0000813455,0.00795695,0.00008271199,0.0001098868,0.0001451957,0.000004591148,0.00006440646,0.0005335414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8503857,"threshold_uncertainty_score":0.9998565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008941428657833745,"score_gpt":0.2077372877995341,"score_spread":0.1987958591417003,"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."}}