{"id":"W4385723899","doi":"10.1061/9780784485026.032","title":"Extending the Life of RAS Piping for the City of Winnipeg","year":2023,"lang":"en","type":"article","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; KGS Group (Canada)","funders":"","keywords":"Piping; Computer science; Architectural engineering; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002169136,0.00006185996,0.00009972861,0.00005638759,0.00003695813,0.000005616736,0.0002087003,0.00003811818,0.000008178148],"category_scores_gemma":[0.0002161501,0.00003350728,0.00005703566,0.0002703565,0.00004112457,0.00002293101,0.00004121017,0.00007496613,0.00000220433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000536271,"about_ca_system_score_gemma":0.000004156775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000937189,"about_ca_topic_score_gemma":0.000002033392,"domain_scores_codex":[0.9996191,0.000002402806,0.0001312324,0.00004978917,0.00006768105,0.0001297406],"domain_scores_gemma":[0.9993165,0.0004276202,0.00001565074,0.0002144519,0.00001658893,0.000009253174],"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":[0.00001643948,0.00002478033,0.005158217,0.001047928,0.0007547233,0.000001645493,0.001261276,0.7071389,0.0687054,0.07283281,0.02872949,0.1143284],"study_design_scores_gemma":[0.000389035,0.00006385627,0.04211931,0.0001199107,0.00008159069,0.000002251625,0.002652545,0.691502,0.2405007,0.0024219,0.01985627,0.0002906368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.836919,0.002303,0.1532084,0.001316977,0.0009384423,0.0004410932,0.0000154714,0.002764276,0.002093357],"genre_scores_gemma":[0.9990636,0.0001568592,0.0005932999,0.000005387955,0.00003552917,0.00002161268,7.377838e-7,0.00001355271,0.0001094019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1717953,"threshold_uncertainty_score":0.1366387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874859270533273,"score_gpt":0.2357782923723475,"score_spread":0.2070296996670148,"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."}}