{"id":"W2742185097","doi":"10.1111/risa.12879","title":"Dynamic Blowout Risk Analysis Using Loss Functions","year":2017,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Research and Development Corporation of Newfoundland and Labrador; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Offshore drilling; Risk analysis (engineering); Drilling; Computer science; Operational risk; Focus (optics); Event (particle physics); Risk assessment; Engineering; Risk management; Reliability engineering; Computer security; Mechanical engineering","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006510514,0.0004895808,0.002021807,0.005098087,0.005559625,0.002041214,0.002893385,0.0002806103,0.005018385],"category_scores_gemma":[0.00431869,0.0003764874,0.005774169,0.01043973,0.0005384267,0.0009957756,0.0005070585,0.0005912824,0.002183849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844169,"about_ca_system_score_gemma":0.0001109424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01411008,"about_ca_topic_score_gemma":0.0344173,"domain_scores_codex":[0.9920352,0.001104321,0.001729607,0.001737236,0.002653528,0.0007401663],"domain_scores_gemma":[0.988041,0.001195626,0.003179635,0.006306887,0.0008146314,0.0004621938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002394939,0.00006869707,0.6811783,5.948992e-7,0.01752886,0.00001739327,0.0001925491,0.2706393,0.00001058913,0.00002331261,0.0001440368,0.03017235],"study_design_scores_gemma":[0.0001756998,0.000009349343,0.4241491,0.000001185522,0.06254231,0.000001039247,0.0005061406,0.5077177,0.000006792498,0.003564466,0.001044342,0.0002818114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6725776,0.0003783052,0.3244076,0.0003848652,0.0001727458,0.0000809315,0.0004895333,0.00006213087,0.001446305],"genre_scores_gemma":[0.9863968,0.00212971,0.004610541,0.00003201864,0.0001022627,0.000008452519,0.00007430892,0.00002498023,0.006620943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3197971,"threshold_uncertainty_score":0.9998687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05636020664503331,"score_gpt":0.3942592023097308,"score_spread":0.3378989956646975,"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."}}