{"id":"W2898341282","doi":"10.1061/ajrua6.0000994","title":"Probability Distribution of Maximum Load Generated by Stochastic Hazards Modeled as Shock, Pulse, and Alternating Renewal Processes","year":2018,"lang":"en","type":"article","venue":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University Network of Excellence in Nuclear Engineering","keywords":"Reliability (semiconductor); Shock (circulatory); Poisson distribution; Renewal theory; Hazard; Generalized extreme value distribution; Probabilistic logic; Extreme value theory; Stochastic process; Reliability theory; Mathematics; Distribution (mathematics); Stochastic modelling; Applied mathematics; Computer science; Statistics; Physics; Mathematical analysis; Failure rate","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004235979,0.0004208133,0.0009810616,0.0003534942,0.00009461356,0.000186252,0.0004340242,0.0002044458,0.000006855983],"category_scores_gemma":[0.009605453,0.0003413473,0.0001040998,0.0009446121,0.0001098897,0.0003865016,0.0001002391,0.0004748084,0.000001374064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002761508,"about_ca_system_score_gemma":0.0002893257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003101498,"about_ca_topic_score_gemma":0.00005190916,"domain_scores_codex":[0.9960189,0.0001183652,0.001753901,0.0004755535,0.001117336,0.0005158685],"domain_scores_gemma":[0.9962705,0.001212245,0.000647553,0.0003507855,0.001231431,0.0002874251],"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":[0.00007544709,0.00005124878,0.001151321,0.0003204436,0.00007562108,0.00000816822,0.0005054923,0.9947025,0.001776021,0.0003791629,0.0001683427,0.0007862298],"study_design_scores_gemma":[0.0008823388,0.00028184,0.0008419772,0.001050998,0.00006694645,0.000134223,0.0001334431,0.9947641,0.0003792928,0.0006545031,0.0004219051,0.0003883567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6084421,0.003460764,0.3869988,0.00001818053,0.0007038699,0.0002318467,0.0000741667,0.00005387847,0.00001639124],"genre_scores_gemma":[0.998254,0.0002457491,0.00108512,0.00000187915,0.0003251625,0.00002128697,0.000007741145,0.00003695404,0.00002211809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3898119,"threshold_uncertainty_score":0.9999039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319471117329571,"score_gpt":0.2585809086913367,"score_spread":0.235386197518041,"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."}}