{"id":"W2069522693","doi":"10.1002/prs.10279","title":"The development of risk criteria for high severity low frequency events","year":2008,"lang":"en","type":"article","venue":"Process Safety Progress","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Red Deer Polytechnic; Nova Chemicals (Canada)","funders":"","keywords":"Risk analysis (engineering); Stakeholder; Risk assessment; Actuarial science; Odds; Risk management; Probabilistic logic; Probabilistic risk assessment; Value (mathematics); Factor analysis of information risk; Business; Operations management; Computer science; Engineering; Economics; Risk management information systems; Computer security; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01370003,0.0009366741,0.0009637296,0.006067426,0.0008933307,0.003557771,0.00196299,0.001321918,0.003155624],"category_scores_gemma":[0.07905691,0.0003090285,0.001353409,0.001512647,0.001733938,0.002939627,0.00240745,0.001574987,0.0004614888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789771,"about_ca_system_score_gemma":0.002265252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002924177,"about_ca_topic_score_gemma":0.002011302,"domain_scores_codex":[0.9834553,0.005777827,0.002002631,0.000875888,0.007260255,0.0006280942],"domain_scores_gemma":[0.9255489,0.04524844,0.00733563,0.00210674,0.01826606,0.001494194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001479504,0.0005951152,0.0498986,0.001162818,0.0003280707,0.001304481,0.001769883,0.4408293,0.01849617,0.256869,0.007378601,0.2198884],"study_design_scores_gemma":[0.00009323905,0.0004991943,0.009573501,0.0002603438,0.00009271396,0.0004675555,0.0007293457,0.8805719,0.007851355,0.09284448,0.006873729,0.0001426743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08022445,0.000325332,0.9066909,0.0005194303,0.0001435237,0.0008787659,0.0003998697,0.0004224634,0.01039527],"genre_scores_gemma":[0.7250546,0.0001030281,0.2724791,0.00009034056,0.00007324826,0.0004709674,0.0003981879,0.00006325389,0.001267272],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01370003,"threshold_uncertainty_score":0.07245362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05797368677395805,"score_gpt":0.3762532917864592,"score_spread":0.3182796050125011,"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."}}