{"id":"W2962771913","doi":"10.1061/9780784482506.026","title":"Developing a Capacity-Demand Assessment Methodology for Pipeline Components Using Elastic-Plastic Load Factors","year":2019,"lang":"en","type":"article","venue":"Pipelines 2019","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Computer science; Reliability engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005350393,0.0003535561,0.0006816449,0.0001772798,0.0001096413,0.00005166485,0.0002567313,0.000257384,0.0001633474],"category_scores_gemma":[0.0004573902,0.0002885009,0.000237057,0.0002483696,0.00006465965,0.0001708409,0.00006094733,0.0003490166,0.00007024753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003921884,"about_ca_system_score_gemma":0.00008176324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003346455,"about_ca_topic_score_gemma":0.00008414409,"domain_scores_codex":[0.9981556,0.0001131714,0.0005956559,0.0003861836,0.0002768995,0.0004724701],"domain_scores_gemma":[0.9976003,0.001591696,0.0001019754,0.0003065735,0.0002976421,0.0001018341],"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":[0.00011656,0.00007744389,0.0353294,0.001748439,0.0007945753,0.000003250637,0.0008606979,0.7062842,0.2496109,0.00248567,0.00135413,0.00133472],"study_design_scores_gemma":[0.0008870822,0.00004763004,0.01184065,0.0001445165,0.0002816428,0.0000149299,0.0002505129,0.9714357,0.009192733,0.001958507,0.003316751,0.0006292912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5655369,0.0001202364,0.4319962,0.00005328688,0.00180818,0.000257573,0.00005184513,0.000112004,0.00006381203],"genre_scores_gemma":[0.8992422,0.00004421123,0.1000429,0.00005016225,0.0002467353,0.0000100216,0.00009130787,0.00004704397,0.0002255011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3337053,"threshold_uncertainty_score":0.9999567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108761277203119,"score_gpt":0.331145609001812,"score_spread":0.2202694812815001,"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."}}