{"id":"W2326190330","doi":"10.1115/ipc2012-90423","title":"PIRAM: Pipeline Ice Risk Assessment and Mitigation Program Overview","year":2012,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"","keywords":"Keel; Pipeline (software); Risk management; Risk assessment; Marine engineering; Ridge; Engineering; Pipeline transport; Environmental science; Risk analysis (engineering); Civil engineering; Computer science; Geology; Mechanical engineering; Structural engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002007635,0.0000965845,0.0001260515,0.00003101708,0.00005141872,0.00003916215,0.00004264692,0.00007588738,0.0002981201],"category_scores_gemma":[0.00002239529,0.00007137206,0.00005488361,0.0001377456,0.00003229214,0.0002266687,0.00001704642,0.0001868692,0.00001907198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004233772,"about_ca_system_score_gemma":0.000003556059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001392006,"about_ca_topic_score_gemma":0.00004707116,"domain_scores_codex":[0.9994544,0.00003081278,0.0001563093,0.00008668951,0.000102444,0.0001693485],"domain_scores_gemma":[0.9996888,0.0000447333,0.00001891143,0.0001246181,0.00003488033,0.00008806863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000433164,0.0001716452,0.1216343,0.000563701,0.0002920128,7.041679e-7,0.0005098508,0.003538821,0.001141659,0.007757411,0.004687922,0.8596976],"study_design_scores_gemma":[0.0004144025,0.0000727624,0.4087329,0.00005894057,0.0004276514,0.00001489629,0.0004283953,0.523431,0.003561664,0.003071215,0.05922991,0.0005563171],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729244,0.00408169,0.008076403,0.0003967145,0.0003427984,0.0003153894,0.00001013452,0.0006222084,0.01323023],"genre_scores_gemma":[0.9853312,0.001139789,0.0131577,0.00005332093,0.0001164344,0.00001821607,0.00001473439,0.000008309647,0.0001603263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8591413,"threshold_uncertainty_score":0.3264205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969654914598217,"score_gpt":0.3052458038734113,"score_spread":0.2855492547274291,"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."}}