{"id":"W2889130817","doi":"10.1111/risa.13179","title":"An Insurance Model for Risk Management of Process Facilities","year":2018,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Actuarial science; Copula (linguistics); Risk management; Business; Insurance policy; Risk analysis (engineering); Residual; Stochastic modelling; Econometrics; Computer science; Economics; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001856254,0.001875013,0.001689748,0.001445359,0.00132746,0.002753994,0.004097039,0.004089977,0.008580896],"category_scores_gemma":[0.003317151,0.0009557715,0.001711988,0.001651997,0.001474599,0.002495297,0.001681861,0.002843955,0.0008810048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003245442,"about_ca_system_score_gemma":0.003483754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02460177,"about_ca_topic_score_gemma":0.0115677,"domain_scores_codex":[0.9986717,0.0004065119,0.00005735686,0.0002504471,0.0003449742,0.0002689792],"domain_scores_gemma":[0.9987979,0.0005742878,0.0001841641,0.00005089774,0.000263728,0.0001289739],"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":[0.00001935021,0.00003185386,0.0003013619,0.00003107154,0.00002012232,0.0001229936,0.00005299666,0.9557523,0.0003466865,0.04005155,0.0005835157,0.002686299],"study_design_scores_gemma":[0.0000116857,0.00001968373,0.0001067057,0.000007266025,0.00001324953,0.00003526425,0.00001340675,0.9912627,0.00005506079,0.007804352,0.0006609835,0.000009631557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04069944,0.001123772,0.9272897,0.001825961,0.0001923822,0.0002001815,0.0008240821,0.0004238384,0.02742052],"genre_scores_gemma":[0.8854349,0.001659202,0.06193411,0.0002979708,0.0002225885,0.0007685425,0.0005679835,0.0001340761,0.04898052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02460177,"threshold_uncertainty_score":0.04891717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06244569077526958,"score_gpt":0.3910716961417457,"score_spread":0.3286260053664761,"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."}}