{"id":"W4400114260","doi":"10.1109/i2mtc60896.2024.10560521","title":"The Role of Surrogate Data in Supraharmonic Assessment Uncertainty Evaluation","year":2024,"lang":"en","type":"article","venue":"","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Reliability engineering; Measurement uncertainty; Statistics; Engineering; Mathematics","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":[0.01183679,0.0007269449,0.001038781,0.00132828,0.0004168923,0.001786321,0.0008694527,0.001200347,0.001278181],"category_scores_gemma":[0.04037096,0.0003258338,0.0006148214,0.0007642038,0.001185511,0.002288964,0.001910373,0.001636669,0.0003013892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004949241,"about_ca_system_score_gemma":0.0009575019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003126391,"about_ca_topic_score_gemma":0.0003053195,"domain_scores_codex":[0.9906188,0.005186786,0.0003120357,0.0005704094,0.003157948,0.0001540038],"domain_scores_gemma":[0.9624397,0.02938186,0.002198122,0.00285241,0.002871937,0.0002558958],"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":[0.0008542452,0.0001986425,0.006807925,0.001030676,0.000248574,0.0005255216,0.0003718697,0.6313252,0.0374571,0.1003449,0.0009391806,0.2198962],"study_design_scores_gemma":[0.00002156059,0.000414703,0.002155725,0.0001653974,0.00004001854,0.0003524686,0.0001028754,0.9258139,0.02882355,0.03886781,0.003174973,0.00006699607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03254654,0.0004439175,0.9651709,0.000144227,0.00004800147,0.00003376765,0.00009498547,0.0001076097,0.001409916],"genre_scores_gemma":[0.7911099,0.0005227328,0.2067756,0.0001184576,0.00006153887,0.0001266361,0.000354976,0.0001179949,0.0008121156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01183679,"threshold_uncertainty_score":0.06259972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1722389124655224,"score_gpt":0.4898755985826121,"score_spread":0.3176366861170897,"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."}}