{"id":"W2266403170","doi":"","title":"A Benchmark Study on Risk-Informed In-Service Inspection Methodologies (RISMET)","year":2010,"lang":"en","type":"article","venue":"Joint Research Centre (European Commission)","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Ranking (information retrieval); Agency (philosophy); Scope (computer science); Risk assessment; Commission; Benchmarking; Service (business); Nuclear power plant; Piping; Probabilistic logic; Risk analysis (engineering); Engineering; Operations research; Operations management; Computer science; Business; Computer security; Mechanical engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02584152,0.001527591,0.001178767,0.003080646,0.0006458948,0.002306065,0.002709539,0.001588821,0.002129885],"category_scores_gemma":[0.05778458,0.0005364888,0.001162293,0.003288449,0.0008508019,0.002062841,0.001762383,0.001547194,0.0002900967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003838634,"about_ca_system_score_gemma":0.002513824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003757666,"about_ca_topic_score_gemma":0.00360585,"domain_scores_codex":[0.9660118,0.02123329,0.001663364,0.001796064,0.008563382,0.0007321834],"domain_scores_gemma":[0.9428602,0.03314747,0.00421132,0.006755336,0.01244807,0.0005776277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001806427,0.002583596,0.01445827,0.002253512,0.000560987,0.0002201489,0.0009729964,0.6035809,0.008195366,0.03150186,0.004138432,0.3297275],"study_design_scores_gemma":[0.0003889521,0.009638589,0.02308768,0.0006452604,0.0002314579,0.000349324,0.001155778,0.9106391,0.01815301,0.02074545,0.01481378,0.000151608],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5893008,0.003184248,0.3630035,0.0007716737,0.0001769175,0.002000976,0.001646612,0.001185809,0.03872952],"genre_scores_gemma":[0.7556439,0.0009079672,0.2389756,0.0001374656,0.00004205021,0.000703294,0.001999965,0.0001670266,0.001422678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02584152,"threshold_uncertainty_score":0.1366646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3944027683241204,"score_gpt":0.5051592936062949,"score_spread":0.1107565252821744,"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."}}