{"id":"W1984544243","doi":"10.1115/ipc2002-27125","title":"Reliability-Based Limit States Design for Onshore Pipelines","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BP (Canada); TransCanada (Canada)","funders":"","keywords":"Pipeline transport; Reliability (semiconductor); Limit state design; Reliability engineering; Pipeline (software); Structural engineering; Limit (mathematics); Engineering; Failure mode and effects analysis; Computer science; Mechanical engineering; Mathematics","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":[0.001663069,0.0007196431,0.0004553009,0.0009347862,0.0004126769,0.00107842,0.0012419,0.0006750006,0.002703239],"category_scores_gemma":[0.002622276,0.0004537232,0.0005660828,0.0002941284,0.0007706901,0.0008641009,0.0009924666,0.0007780931,0.0006041684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050666,"about_ca_system_score_gemma":0.001008387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002086826,"about_ca_topic_score_gemma":0.002083443,"domain_scores_codex":[0.9989423,0.0003032975,0.00006781313,0.0001606317,0.0004264525,0.00009961035],"domain_scores_gemma":[0.9986608,0.0004209037,0.0002997189,0.0001193696,0.0004466859,0.0000524217],"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":[0.0002203197,0.0001145594,0.001561432,0.0002263065,0.00004538384,0.0002011068,0.0003192608,0.8596635,0.03669341,0.03111219,0.001208533,0.06863408],"study_design_scores_gemma":[0.00002192399,0.0002723432,0.0003884509,0.00004039906,0.0000325824,0.00006352399,0.00004048183,0.9692602,0.01336223,0.01250001,0.003994686,0.00002317579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03003637,0.0001775919,0.9614828,0.00009855948,0.0000259616,0.0001283024,0.00005115125,0.000806982,0.007192318],"genre_scores_gemma":[0.8380548,0.0002325724,0.1553217,0.0000824755,0.00002144782,0.0003942047,0.000122173,0.0001249613,0.005645689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002703239,"threshold_uncertainty_score":0.009043276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05069234289100001,"score_gpt":0.2580530713236402,"score_spread":0.2073607284326403,"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."}}