{"id":"W4399052648","doi":"10.1002/qre.3580","title":"Advances and novel applications in systems reliability and safety engineering (selected papers of the International Conference of SRSE 2022)","year":2024,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Christian ministry; China; Beijing; Reliability (semiconductor); Engineering; Engineering management; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007036504,0.0001703704,0.0002562985,0.0001227904,0.00002544271,0.00005016866,0.0001937007,0.0001162479,0.00001135692],"category_scores_gemma":[0.0005505681,0.0001419954,0.00004749791,0.0002863163,0.0001280954,0.0002696269,0.00009349616,0.0002681424,1.490613e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001157884,"about_ca_system_score_gemma":0.00003344351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008126974,"about_ca_topic_score_gemma":0.00001317633,"domain_scores_codex":[0.99865,0.00002391916,0.0006318411,0.0003086995,0.0002460693,0.0001395078],"domain_scores_gemma":[0.9991143,0.0003740725,0.00005993012,0.0002151165,0.0001869399,0.0000496198],"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":[0.00003002752,0.00006483348,0.009585503,0.002733791,0.00005708006,2.618326e-7,0.0005250312,0.9143667,0.01601068,0.05530224,0.000007430056,0.001316387],"study_design_scores_gemma":[0.0002873786,0.0000149835,0.06159176,0.0004266363,0.00001473979,0.000006753074,0.0001601612,0.9309902,0.000698194,0.0003266392,0.00530188,0.0001806629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8459213,0.003812159,0.1436198,0.001087728,0.002376417,0.001090153,0.0004134525,0.0002998934,0.001379066],"genre_scores_gemma":[0.9958752,0.002321232,0.001642419,0.000003991514,0.00003795604,0.00005364083,0.00002387859,0.00001525265,0.00002642813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1499539,"threshold_uncertainty_score":0.5790405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00881505897396057,"score_gpt":0.2330666372378419,"score_spread":0.2242515782638813,"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."}}